| chat gpt writing code: Chat GPT Unleashed Bob Warner, 2024-07-02 In a world where technology evolves faster than ever, one innovation stands at the forefront of revolutionizing our lives—Chat GPT. Imagine a tool that not only boosts your financial success but also grants you the freedom to work from anywhere and transforms your personal growth. This isn’t science fiction; it’s happening now. “Chat GPT Unleashed” is your ticket to harnessing the power of artificial intelligence for unparalleled prosperity, autonomy, and self-improvement. Are you ready to break free from the conventional and step into a future where AI is your greatest ally? Have you ever wondered how some people effortlessly achieve financial success while living a life of complete freedom and constant personal growth? What if the key to unlocking these dreams lies in a single, powerful tool? The possibilities seem endless, but how exactly does Chat GPT make this a reality? What secrets are hidden within this AI revolution that can transform your life in ways you never imagined? Stay with us as we delve into the fascinating world of AI, where each revelation brings you closer to a life of limitless potential. Imagine waking up each day to a world where financial stress is a thing of the past, where you can work from a beach in Bali or a café in Paris, and where each day brings new opportunities for personal growth. This isn’t just a fantasy; it’s a reality that Chat GPT can help you achieve. By leveraging advanced AI, you’ll discover how to automate income streams, break geographical barriers, and unlock a deeper understanding of yourself. The journey starts with a single step into the world of Chat GPT, where the future is bright and full of promise. How can you use this AI to craft a life of your dreams? Let’s explore the pathways to financial prosperity, location independence, and personal metamorphosis. “Chat GPT Unleashed” promises to deliver a roadmap to unprecedented financial success, complete freedom to work from anywhere, and profound personal growth. This book is your guide to harnessing AI for real, tangible results that will transform every aspect of your life. We understand the frustration of feeling stuck in a job that doesn’t fulfill you, the struggle to balance work and personal life, and the constant search for ways to improve yourself. You’re not alone in feeling overwhelmed by the rapid pace of technological change. “Chat GPT Unleashed” is written with you in mind, to show you that these challenges can be overcome. We’ve walked the path of uncertainty and emerged victorious by embracing AI. This book is crafted to meet you where you are, addressing your deepest concerns and aspirations with empathy and actionable insights. Why does “Chat GPT Unleashed” work? Unlike other books and tools that promise quick fixes, this book dives deep into the practical application of AI in your daily life. You might be skeptical, wondering if you have the technical skills to leverage such advanced technology. Fear not—this book is designed for everyone, regardless of their tech background. You’ll find step-by-step guides, real-life examples, and supportive advice that demystify AI and make it accessible. This is not just another hype; it’s a comprehensive guide proven to deliver results. According to a report by McKinsey, AI has the potential to add $13 trillion to the global economy by 2030. As Elon Musk famously said, “AI will be the best or worst thing ever for humanity.” This book harnesses the best of AI, guiding you to use it for remarkable personal and financial growth. This book is backed by cutting-edge research and real-world success stories, cementing its authority as a must-read in the AI space. You will get Inside: - Unlock financial prosperity by automating income streams with AI-driven strategies. - Achieve location independence and work from anywhere in the world. - Experience personal metamorphosis through AI-enhanced self-discovery and growth. - Discover practical applications of Chat GPT that can revolutionize your business and personal life. - Learn from real-life success stories of individuals who transformed their lives with AI. - Gain step-by-step guidance on integrating AI into your daily routines without needing technical expertise. - Access exclusive tips and tricks to stay ahead in the fast-evolving AI landscape. - Develop a future-ready mindset to thrive in the AI-driven world. Embrace the AI revolution today with “Chat GPT Unleashed” and watch as your life transforms into a journey of boundless opportunities, financial freedom, and profound personal growth. Don’t wait—unlock the future now. Grab your copy of “Chat GPT Unleashed” and take the first step towards a life of financial prosperity, location independence, and personal metamorphosis. Your future self will thank you. |
| chat gpt writing code: Build a Website with ChatGPT Paul McFedries, 2024-10-01 Create a portfolio of cool and creative websites—all without having to write your own code. Build a Website with ChatGPT teaches you zero-coding web development utilizing powerful generative AI tools like ChatGPT. If you can open a web browser, you’re ready to start building—absolutely no coding experience required. Inside Build a Website with ChatGPT you’ll learn the important skills of AI-assisted web programming, such as: • Crafting effective prompts to generate HTML, CSS, and JavaScript • Converting text into images with DALL-E integration • Building navigation bars, image galleries, and contact forms • Deploying fully functional sites to the web for free • Customizing the generated code for unique sites Inside Build a Website with ChatGPT you’ll learn the high-level coding concepts that let you check and perfect AI output, prompting skills that deliver the exact code you need, and how to properly deploy your site to the web—for free! Annotated code samples and advice on code customization give you the perfect balance of understanding and convenience. Plus, you’ll get access to a tried-and-tested repository of prompts and working code. About the technology You can build amazing websites even if you don’t know HTML, CSS, and JavaScript. Just describe what you want in plain English, and let ChatGPT take care of the gnarly details! This book guides you step-by-step as you create user-friendly forms, interesting graphics, and interactive web pages using nothing but AI and your imagination. About the book Build a Website with ChatGPT shows you how to make websites in an AI-first world—no experience required! You’ll start with the basics of generating pages with ChatGPT, and by the end of the second chapter your first site will be up and running. Author Paul McFedries then shows you how to add interesting text and graphics, forms for user input, and even custom CSS to give your pages some pizzazz. As you go, you’ll expand your new AI skills to create photo galleries, portfolios, catalog pages and more. What's inside • Writing effective prompts to create code, text, and graphics • Adding navigation bars, image galleries, and contact forms • Deploying your sites to the web for free • Adding your unique touches to AI-generated pages About the reader No experience with web development or programming required. If you can create a Word document, you can build a website! About the author Paul McFedries has written over 100 books on web development and other technology topics including Web Design Playground (Manning Publications). The technical editor on this book was Anirudh V. Prabhu. Table of Contents 1 Introducing website creation with ChatGPT 2 Creating and deploying your first web page 3 Working with fonts, colors, and headings 4 Adding structure to a page 5 Publishing page posts 6 Adding links and navigation 7 Creating site content 8 Generating site forms 9 Adding lists to your pages 10 Setting up a photo gallery 11 Creating a portfolio page 12 Building an article page 13 Coding an interactive course catalog A Getting ready to build web pages with ChatGPT B Deploying your site C Learning a few ChatGPT best practices |
| chat gpt writing code: Man-Machine-Environment System Engineering Shengzhao Long, Balbir S. Dhillon, 2023-09-04 Man-Machine-Environment System Engineering: Proceedings of the 23rd Conference on MMESE are an academic showcase of the best papers selected from more than 500 submissions, introducing readers to the top research topics and the latest developmental trends in the theory and application of MMESE. This proceedings are interdisciplinary studies on the concepts and methods of physiology, psychology, system engineering, computer science, environment science, management, education, and other related disciplines. Researchers and professionals who study an interdisciplinary subject crossing above disciplines or researchers on MMESE subject will be mainly benefited from this proceedings. MMESE primarily focuses on the relationship between Man, Machine and Environment, studying the optimum combination of man-machine-environment systems. In this system, “Man” refers to working people as the subject in the workplace (e.g. operators, decision-makers); “Machine” is the general name for any object controlled by Man (including tools, machinery, computers, systems and technologies), and “Environment” describes the specific working conditions under which Man and Machine interact (e.g. temperature, noise, vibration, hazardous gases etc.). The three goals of optimization of the man-machine-environment systems are to ensure safety, efficiency and economy. The integrated and advanced science research topic Man-Machine-Environment System Engineering (MMESE) was first established in China by Professor Shengzhao Long in 1981, with direct support from one of the greatest modern Chinese scientists, Xuesen Qian. In a letter to Shengzhao Long from October 22nd, 1993, Xuesen Qian wrote: “You have created a very important modern science and technology in China!” |
| chat gpt writing code: ChatGPT For Dummies Pam Baker, 2023-05-22 Learn how the disruptive AI chatbot is going to change school, work, and beyond ChatGPT For Dummies demystifies the artificial intelligence tool that can answer questions, write essays, and generate just about any kind of text it’s asked for. This powerful example of generative AI is widely predicted to upend education and business. In this book, you’ll learn how ChatGPT works and how you can operate it in a way that yields satisfactory results. You’ll also explore the ethics of using AI-generated content for various purposes. Written by a journalist who's been on the front lines of artificial intelligence for over a decade, this book dives deep into ChatGPT’s potential, so you can make informed decisions—without asking ChatGPT for help. Learn how ChatGPT works and how it fits into the world of generative AI Harness the power of ChatGPT to help you, and avoid letting it hinder you Write queries that deliver the kind of response you want Take a look into how the ChatGPT API interacts with other tools and platforms This just-in-time Dummies title is perfect for any life or career may be impacted by ChatGPT and other AI. ChatGPT is just the tip of the iceberg, and this book can help you prepare for the future. |
| chat gpt writing code: Generative AI with chatgpt prototype Mr. Nikhil Chaurasia, Dr. Gourav Shrivastava, Dr. Saket Jain, Prof. Urmila Mahor, 2024-07-08 Generative AI with ChatGPT: A Comprehensive Guide delves into the transformative power of ChatGPT, developed by OpenAI. This book caters to enthusiasts, professionals, and scholars aiming to harness the potential of generative AI for diverse applications. Key Features: Unveiling ChatGPT: Conversing with Superintelligence Explore the foundations of generative AI and the capabilities of ChatGPT. Understand how it revolutionizes conversations and human-AI collaboration, and discover its broad applications. Prompt Engineering and ChatGPT Plugins Master prompt engineering to enhance ChatGPT's effectiveness. This section covers the fundamentals, advanced techniques, and the use of ChatGPT plugins to customize its functionalities for specific needs. ChatGPT for Productivity Learn to leverage ChatGPT to boost productivity across various fields. From mastering Excel and data science to creating content marketing plans and improving customer service, this section provides practical insights for using ChatGPT in social media marketing, SEO, content generation, email marketing, and project management. ChatGPT for Developers and Exploring ChatGPT API A valuable resource for developers, this section covers using ChatGPT for programming tasks, debugging, integrating features, and documenting code. Additionally, it offers essential knowledge about APIs, focusing on the OpenAI and ChatGPT API, to seamlessly integrate ChatGPT into applications. This comprehensive guide is your gateway to understanding and utilizing the remarkable capabilities of ChatGPT. |
| chat gpt writing code: Python Essentials For Dummies John C. Shovic, Alan Simpson, 2024-04-30 The no-nonsense way to get started coding in the Python programming language Python Essentials For Dummies is a quick reference to all the core concepts in Python, the multifaceted general-purpose language used for everything from building websites to creating apps. This book gets right to the point, with no excess review, wordy explanations, or fluff, making it perfect as a desk reference on the job or as a brush-up as you expand your skills in related areas. Focusing on just the essential topics you need to know to brush up or level up your Python skill, this is the reliable little book you can always turn to for answers. Get a quick and thorough intro to the basic concepts of coding in Python Review what you've already learned or pick up essential new skills Create websites, software, machine learning, and automation for school or work Keep this concise reference book handy for jogging your memory as you code This portable Dummies Essentials book focuses on the key topics you need to know about the popular Python language. Great for supplementing a course, reviewing for a certification, or staying knowledgeable on the job. |
| chat gpt writing code: Learn coding with Python and JavaScript Joachim L. Zuckarelli, |
| chat gpt writing code: Progress in Artificial Intelligence Nuno Moniz, Zita Vale, José Cascalho, Catarina Silva, Raquel Sebastião, 2024-01-15 The two-volume set LNAI 14115 and 14116 constitutes the refereed proceedings of the 22nd EPIA Conference on Progress in Artificial Intelligence, EPIA 2023, held in Faial Island, Azores, in September 2023. The 85 full papers presented in these proceedings were carefully reviewed and selected from 163 submissions. The papers have been organized in the following topical sections: ambient intelligence and affective environments; ethics and responsibility in artificial intelligence; general artificial intelligence; intelligent robotics; knowledge discovery and business intelligence; multi-agent Systems: theory and applications; natural language processing, text mining and applications; planning, scheduling and decision-making in AI; social simulation and modelling; artifical intelligence, generation and creativity; artificial intelligence and law; artificial intelligence in power and energy systems; artificial intelligence in medicine; artificial intelligence and IoT in agriculture; artificial intelligence in transportation systems; artificial intelligence in smart computing; artificial intelligence for industry and societies. |
| chat gpt writing code: Global Perspectives on Micro-Learning and Micro-Credentials in Higher Education Omona, Kizito, O'dama, Modest Kayi, 2024-02-27 In the rapidly evolving landscape of higher education, where the acquisition of knowledge is a lifelong pursuit, educators and institutions are redefining the paradigms of learning through innovative approaches. Global Perspectives on Micro-Learning and Micro-Credentials in Higher Education delves into the intricate tapestry of contemporary education, where the convergence of advanced pedagogies and cutting-edge technologies is reshaping traditional boundaries. As the realms of chatbots, gamification, and hybrid learning intersect, a new era of holistic education emerges, seamlessly blending theoretical prowess with experiential wisdom. The book unfurls with meticulous exploration of pivotal themes, embracing the nuanced realms of instructional design, learning analytics, and library services tailored for the modern educational era. From the granular landscapes of microlearning to the macroscopic view of global teacher retention strategies, the book leaves no stone unturned. This book is a symphony of intellectual rigor, orchestrated to resonate with educators, administrators, researchers, and all stakeholders vested in the future of learning. |
| chat gpt writing code: AI-generated Content Feng Zhao, Duoqian Miao, 2023-12-03 This book constitutes the revised selected papers of the First International Conference, AIGC 2023, held in Shanghai, China, during August 25–26, 2023 The 30 full papers included in this volume were carefully reviewed and selected from 62 submissions. The volume focuses on the remarkable strides that have been made in the realm of artificial intelligence and its transformative impact on content creation. As delving into the content of the proceedings, the readers will encounter cutting-edge research findings, innovative applications, and thought-provoking insights that underscore the transformative potential of AI-generated content. |
| chat gpt writing code: Developing Apps with GPT-4 and ChatGPT Olivier Caelen, Marie-Alice Blete, 2023-08-29 This minibook is a comprehensive guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and ChatGPT and explain how they work. You'll also get a step-by-step guide for developing applications using the GPT-4 and ChatGPT Python library, including text generation, Q&A, and content summarization tools. Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must. You'll learn: The fundamentals and benefits of ChatGPT and GPT-4 and how they work How to integrate these models into Python-based applications for NLP tasks How to develop applications using GPT-4 or ChatGPT APIs in Python for text generation, question answering, and content summarization, among other tasks Advanced GPT topics including prompt engineering, fine-tuning models for specific tasks, plug-ins, LangChain, and more |
| chat gpt writing code: AI-Assisted Programming Tom Taulli, 2024-04-10 Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, design, coding, debugging, testing, and documentation. With this book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs (ChatGPT, Gemini, and Claude) to code-specific systems (GitHub Copilot, Tabnine, Cursor, and Amazon CodeWhisperer). You'll also learn about more specialized generative AI tools for tasks such as text-to-image creation. Author Tom Taulli provides a methodology for modular programming that aligns effectively with the way prompts create AI-generated code. This guide also describes the best ways of using general purpose LLMs to learn a programming language, explain code, or convert code from one language to another. This book examines: The core capabilities of AI-based development tools Pros, cons, and use cases of popular systems such as GitHub Copilot and Amazon CodeWhisperer Ways to use ChatGPT, Gemini, Claude, and other generic LLMs for coding Using AI development tools for the software development lifecycle, including requirements, planning, coding, debugging, and testing Prompt engineering for development Using AI-assisted programming for tedious tasks like creating regular expressions, starter code, object-oriented programming classes, and GitHub Actions How to use AI-based low-code and no-code tools, such as to create professional UIs |
| chat gpt writing code: Coding with AI For Dummies Chris Minnick, 2024-02-23 Boost your coding output and accuracy with artificial intelligence tools Coding with AI For Dummies introduces you to the many ways that artificial intelligence can make your life as a coder easier. Even if you’re brand new to using AI, this book will show you around the new tools that can produce, examine, and fix code for you. With AI, you can automate processes like code documentation, debugging, updating, and optimization. The time saved thanks to AI lets you focus on the core development tasks that make you even more valuable. Learn the secrets behind coding assistant platforms and get step-by-step instructions on how to implement them to make coding a smoother process. Thanks to AI and this Dummies guide, you’ll be coding faster and better in no time. Discover all the core coding tasks boosted by artificial intelligence Meet the top AI coding assistance platforms currently on the market Learn how to generate documentation with AI and use AI to keep your code up to date Use predictive tools to help speed up the coding process and eliminate bugs This is a great Dummies guide for new and experienced programmers alike. Get started with AI coding and expand your programming toolkit with Coding with AI For Dummies. |
| chat gpt writing code: GPT-4 For Developers Oswald Campesato, 2024-01-30 This resource is designed to bridge the gap between theoretical understanding and practical application, making it a useful tool for software developers, data scientists, AI researchers, and tech enthusiasts interested in harnessing the power of GPT-4 in Python environments. The book contains an assortment of Python 3.x code samples that were generated by ChatGPT and GPT-4. Chapter 1 provides an overview of ChatGPT and GPT-4, followed by a chapter which contains Python 3.x code samples for solving various programming tasks in Python. Chapter 3 contains code samples for data visualization, and Chapter 4 contains code samples for linear regression. The final chapter covers visualization with Gen AI (Generative AI) and DALL-E. Companion files with source code and figures are available for downloading. FEATURES Offers an all-encompassing view of ChatGPT and GPT-4, from basics to advanced topics, including functionalities, capabilities, and limitations Contains Python 3.x code samples demonstrating the application of GPT-4 in real-world scenarios Provides a forward-looking perspective on Generative AI and its integration with data visualization and DALL-E Includes companion files with source code, data sets, and figures |
| chat gpt writing code: Data Analytics for Business Wolfgang Garn, 2024-04-30 We are drowning in data but are starved for knowledge. Data Analytics is the discipline of extracting actionable insights by structuring, processing, analysing and visualising data using methods and software tools. Hence, we gain knowledge by understanding the data. A roadmap to achieve this is encapsulated in the knowledge discovery in databases (KDD) process. Databases help us store data in a structured way. The structure query language (SQL) allows us to gain first insights about business opportunities. Visualising the data using business intelligence tools and data science languages deepens our understanding of the key performance indicators and business characteristics. This can be used to create relevant classification and prediction models; for instance, to provide customers with the appropriate products or predict the eruption time of geysers. Machine learning algorithms help us in this endeavour. Moreover, we can create new classes using unsupervised learning methods, which can be used to define new market segments or group customers with similar characteristics. Finally, artificial intelligence allows us to reason under uncertainty and find optimal solutions for business challenges. All these topics are covered in this book with a hands-on process, which means we use numerous examples to introduce the concepts and several software tools to assist us. Several interactive exercises support us in deepening the understanding and keep us engaged with the material. This book is appropriate for master students but can be used for undergraduate students. Practitioners will also benefit from the readily available tools. The material was especially designed for Business Analytics degrees with a focus on Data Science and can also be used for machine learning or artificial intelligence classes. This entry-level book is ideally suited for a wide range of disciplines wishing to gain actionable data insights in a practical manner. |
| chat gpt writing code: Python 3 Data Visualization Using ChatGPT / GPT-4 Oswald Campesato, 2023-12-12 This book is designed to show readers the concepts of Python 3 programming and the art of data visualization. It also explores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data stories. Chapter 1 introduces the essentials of Python, covering a vast array of topics from basic data types, loops, and functions to more advanced constructs like dictionaries, sets, and matrices. In Chapter 2, the focus shifts to NumPy and its powerful array operations, leading into data visualization using prominent libraries such as Matplotlib. Chapter 6 includes Seaborn's rich visualization tools, offering insights into datasets like Iris and Titanic. Further, the book covers other visualization tools and techniques, including SVG graphics, D3 for dynamic visualizations, and more. Chapter 7 covers information about the main features of ChatGPT and GPT-4, as well as some of their competitors. Chapter 8 contains examples of using ChatGPT in order to perform data visualization, such as charts and graphs that are based on datasets (e.g., the Titanic dataset). Companion files with code, datasets, and figures are available for downloading. From foundational Python concepts to the intricacies of data visualization, this book is ideal for Python practitioners, data scientists, and anyone in the field of data analytics looking to enhance their storytelling with data through visuals. It's also perfect for educators seeking material for teaching advanced data visualization techniques. FEATURES Explores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data stories Contains detailed tutorials that guide you through the creation of complex visuals Tackles actual data scenarios and builds your expertise as you apply learned concepts to real datasets Features data manipulation and cleaning with Pandas to prepare flawless datasets ready for visualization Includes companion files with source code, data sets, and figures |
| chat gpt writing code: Artificial Intelligence in Short Ryan Richardson Barrett, 2024-04-14 Artificial Intelligence in Short is a poignant book about the fundamental concepts of AI and machine learning. Written clearly and accompanied by numerous practical examples, this book enables any capable reader to understand concepts such as how computer vision and large language models are created and used while remaining free of mathematical formulas or other highly technical details. The tonality used in this book is unassuming and full of levity. The book maintains an even pace that assists in conceptualizing the complex ideas of machine learning effectively while maintaining a clear but generalized focus in the narrative. Chapters develop through concrete concepts of computer science, mathematics, and machine learning before moving to more nuanced ideas in the realm of cybernetics and legislature. Artificial Intelligence in Short discusses the most up-to-date research in AI and computer science but also elaborates on how machines have come to learn and the historical origins of AI. The concepts of AI are outlined in relation to everyday life –just as AI has become a tool integrated into devices used daily by many people. |
| chat gpt writing code: Python 3 Using Chatgpt / Gpt-4 Oswald Campesato, 2023-12-12 This book is intended primarily for people who want to learn both Python 3 and how to use ChatGPT with Python. Chapter One begins with an introduction to fundamental aspects of Python programming, including various data types, number formatting, Unicode and UTF-8 handling, and text manipulation techniques. Later, the book covers loops, conditional logic, and reserved words in Python. You will also see how to handle user input, manage exceptions, and work with command-line arguments. Next, the text transitions to the realm of Generative AI, discussing its distinction from Conversational AI. Popular platforms and models, including ChatGPT, GPT-4, and their competitors, are presented to give readers an understanding of the current AI landscape. The book also sheds light on the capabilities of ChatGPT, its strengths, weaknesses, and potential applications. In addition, you will learn how to generate a variety of Python 3 code samples via ChatGPT using the Code Interpreter plugin. Code samples and figures from the book are available for downloading. In essence, the book provides a modest bridge between the worlds of Python programming and AI, aiming to equip readers with the knowledge and skills to navigate both domains confidently. FEATURES Includes a chapter on how to generate a variety of Python 3 code samples via ChatGPT using the Code Interpreter plugin Covers basic concepts of Python 3 such as loops, conditional logic, reserved words, user input, manage exceptions, work with command-line arguments, and more Includes companion files for downloading with source code and figures |
| chat gpt writing code: The Future of Finance with ChatGPT and Power BI James Bryant, Aloke Mukherjee, 2023-12-29 Enhance decision-making, transform your market approach, and find investment opportunities by exploring AI, finance, and data visualization with ChatGPT's analytics and Power BI's visuals Key Features Automate Power BI with ChatGPT for quick and competitive financial insights, giving you a strategic edge Make better data-driven decisions with practical examples of financial analysis and reporting Learn the step-by-step integration of ChatGPT, financial analysis, and Power BI for real-world success Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn today's rapidly evolving economic landscape, the combination of finance, analytics, and artificial intelligence (AI) heralds a new era of decision-making. Finance and data analytics along with AI can no longer be seen as separate disciplines and professionals have to be comfortable in both in order to be successful. This book combines finance concepts, visualizations through Power BI and the application of AI and ChatGPT to provide a more holistic perspective. After a brief introduction to finance and Power BI, you will begin with Tesla's data-driven financial tactics before moving to John Deere's AgTech strides, all through the lens of AI. Salesforce's adaptation to the AI revolution offers profound insights, while Moderna's navigation through the biotech frontier during the pandemic showcases the agility of AI-focused companies. Learn from Silicon Valley Bank's demise, and prepare for CrowdStrike's defensive maneuvers against cyber threats. With each chapter, you'll gain mastery over new investing ideas, Power BI tools, and integrate ChatGPT into your workflows. This book is an indispensable ally for anyone looking to thrive in the financial sector. By the end of this book, you'll be able to transform your approach to investing and trading by blending AI-driven analysis, data visualization, and real-world applications.What you will learn Dominate investing, trading, and reporting with ChatGPT's game-changing insights Master Power BI for dynamic financial visuals, custom dashboards, and impactful charts Apply AI and ChatGPT for advanced finance analysis and natural language processing (NLP) in news analysis Tap into ChatGPT for powerful market sentiment analysis to seize investment opportunities Unleash your financial analysis potential with data modeling, source connections, and Power BI integration Understand the importance of data security and adopt best practices for using ChatGPT and Power BI Who this book is for This book is for students, academics, data analysts, and AI enthusiasts eager to leverage ChatGPT for financial analysis and forecasting. It's also suitable for investors, traders, financial pros, business owners, and entrepreneurs interested in analyzing financial data using Power BI. To get started with this book, understanding the fundamentals of finance, investment, trading, and data analysis, along with proficiency in tools like Power BI and Microsoft Excel, is necessary. While prior knowledge of AI and ChatGPT is beneficial, it is not a prerequisite. |
| chat gpt writing code: Java Basics Using ChatGPT/GPT-4 Oswald Campesato, 2023-12-28 This book is designed for those new to Java and interested in understanding how ChatGPT/GPT-4 can enhance programming. It offers a unique approach to learning Java, combining traditional hand-written code with cutting-edge ChatGPT-generated examples. The book covers the basics of Java programming and development environments, including understanding recursion, strings, arrays, fundamental data structures, algorithm analysis, queues and stacks, and follows with the role of ChatGPT in generating, explaining, and debugging code. Companion files with source code and figures available for downloading. It’s an essential resource for those starting Java programming and for anyone curious about the applications of ChatGPT in coding. FEATURES Combines hand-crafted Java code with ChatGPT-generated examples for a multifaceted learning experience Offers practical Java coding skills, with examples in recursion, data structures, and algorithm analysis Covers the capabilities of ChatGPT for code generation, debugging, and explanation, providing a modern perspective on programming Includes companion files for downloading with source code and figures |
| chat gpt writing code: Artificial Intelligence and Academic Integrity April G Dawson, 2023-08-02 Artificial Intelligence and Academic Integrity, by April G. Dawson, is Aspen's concise primer intended to increase student awareness of the protocols, possibilities, and ethical implications of using AI systems in their legal education studies, while also giving professors assurance that their students are informed of the same. AI is having a sudden and profound impact on the legal profession, as it has in virtually professions worldwide. Understanding how to leverage AI tools effectively and appropriately will give law school graduates a competitive edge among legal employers interested to hire tech-savvy young lawyers. But AI is also having a profound impact on the legal education experience. As more and more students seek assistance from ChatGPT and similar tools for their academic work, questions arise as to what they are gaining or sacrificing in the process; and whether, or at what point, using AI in academic work falls within the bounds of academic integrity. Such dramatic developments call for better knowledge and understanding of the ethical implications associated with using AI systems in law school. April G. Dawson explores the pros and cons of using powerful AI tools in law school while maintaining institutional standards for academic rigor and intellectual honesty in legal education--alongside students' own values and developing sense of legal ethics. Professors and students will benefit from: Assurance that AIAI raises student awareness of the importance of 1) using generative AI tools like ChatGPT responsibly; and 2) understanding how academic integrity facilitates learning and prepares students to become ethically responsible in the practice of law; 3) researching and reading their school's code of conduct, and 4) understanding the policies of individual professors with respect to the use of generative AI tools. Reflection: Professional Identity Formation (PIF), questions that prompt students to reflect on their own experiences with generative AI--both its useful applications for learning and practice, as well as the potential for using AI in ways that violate academic integrity and undermine principles of professional responsibility. Examples of individuals making choices and realizing the consequences of their decisions for a range of situations and ethical quandaries Case Studies feature summaries of recent landmark cases and discussion of law and policy. A concise overview of law-specific AI products, the tasks they perform, and the reasons for the legal profession's measured approach to adopting them Incisive discussion of the potential for generative AI's to significantly mitigate, though not fully address, the nation's access to justice crisis |
| chat gpt writing code: CSS3 and SVG with GPT-4 Oswald Campesato, 2024-06-19 This book is designed to equip you with the knowledge and skills necessary to navigate the intersection of web development and artificial intelligence (AI). It covers various aspects of modern web development and AI technologies, with a particular emphasis on Generative AI, CSS3, SVG, JavaScript, HTML, and popular web features like 3D animations and gradients. By exploring these topics, readers will gain a deeper understanding of how AI can enhance web development processes and how to leverage AI models like GPT-4 to streamline development workflows. Web developers, UI/UX designers, and software engineers seeking to blend traditional web development skills with the latest AI technologies will find this book to be a valuable resource. FEATURES: Covers generative AI fundamentals to advanced CSS3 and SVG techniques, offering comprehensive material on modern web development technologies Balances theoretical knowledge and practical examples, so readers gain hands-on experience in implementing AI-driven design solutions using GPT-4-generated code. Includes companion files with code, datasets, and images from the book -- available from the publisher for downloading (with proof of purchase) |
| chat gpt writing code: New Perspectives and Possibilities in Strategic Management in the 21st Century: Between Tradition and Modernity Martínez-Falcó, Javier, Marco-Lajara, Bartolomé, Sánchez-García, Eduardo, Millan-Tudela, Luis A., 2023-07-28 The field of strategic management is facing new challenges, as two phenomena, sustainability, and information and communication technologies, have altered the classic pillars of business strategy. These far-reaching changes require companies to make rapid adaptations in order to achieve optimal situations, which can no longer be developed as they did in the past. To help academics and managers understand the new fields of study and research within strategic management, Javier Martínez-Falcó, Assistant Professor at the University of Alicante, has written a groundbreaking book, New Perspectives and Possibilities in Strategic Management in the 21st Century: Between Tradition and Modernity. This book is an essential guide for reflection and critique, offering insights into the new currents and challenges of the discipline, shedding light on the modernization of strategies in the corporate world. It addresses the renewal and future directions of the field, covering topics such as sustainability, circular economy, green innovation, and information and communication technologies, including blockchain, big data, artificial intelligence, and IoT. The book serves as a must-read for academics, academic students, and policymakers interested in gaining a deeper understanding of current issues impacting deliberate business planning and organization. It also serves as a valuable support material for undergraduate and master's business students, providing a comprehensive understanding of the new fields of study in the discipline. This book is an excellent addition to any academic collection and offers a thought-provoking perspective on strategic management. |
| chat gpt writing code: Advanced Research Methods for Applied Psychology Paula Brough, 2024-08-27 Advanced Research Methods for Applied Psychology provides a comprehensive discussion of 21 key topics for the completion of an applied psychology (or similar) research thesis/project. The book provides a one-stop shop for the current issues and discussions of key research methods and common statistical analysis techniques, but avoids being a step-by-step instruction guide. The book is divided into four sections, representing the stages of thesis completion: getting started, data collection, data analysis, and reporting research. Each chapter presents a detailed scholarly discussion on a topic and represents the most up-to-date reference for that topic. The Chapters also provide key references for further detailed readings and guides. The chapters are authored by leading researchers from all around the world. This book discusses both emerging and traditional research methods commonly utilised within applied psychology research projects and directly assists early researchers in providing an informed discussion of their decisions relating to their choice of, for example, research sampling, the use of diary studies, appropriate survey time-lags, conducting systematic reviews, and the macro and micro process issues involved with conducting organisational interventions. This book is an important reference text for applied psychology research thesis/project students and researchers, including both undergraduate and postgraduate students. It will be of interest to applied psychology researchers in all fields (clinical, organisational, developmental, forensic, etc.) and to those in other disciplines. The book provides coverage of advanced research methods and statistical topics and is suitable for adoption for these courses in honours/post-graduate levels of study within applied psychology and related fields. |
| chat gpt writing code: Big Data Analytics Ulrich Matter, 2023-09-04 Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to gain insights from Big Data. This book aims to help data science practitioners to successfully manage the transition to Big Data. Building on familiar content from applied econometrics and business analytics, this book introduces the reader to the basic concepts of Big Data Analytics. The focus of the book is on how to productively apply econometric and machine learning techniques with large, complex data sets, as well as on all the steps involved before analysing the data (data storage, data import, data preparation). The book combines conceptual and theoretical material with the practical application of the concepts using R and SQL. The reader will thus acquire the skills to analyse large data sets, both locally and in the cloud. Various code examples and tutorials, focused on empirical economic and business research, illustrate practical techniques to handle and analyse Big Data. Key Features: - Includes many code examples in R and SQL, with R/SQL scripts freely provided online. - Extensive use of real datasets from empirical economic research and business analytics, with data files freely provided online. - Leads students and practitioners to think critically about where the bottlenecks are in practical data analysis tasks with large data sets, and how to address them. The book is a valuable resource for data science practitioners, graduate students and researchers who aim to gain insights from big data in the context of research questions in business, economics, and the social sciences. |
| chat gpt writing code: Python 3 and Machine Learning Using ChatGPT/GPT-4 Oswald Campesato, 2024-06-17 This book is designed to bridge the gap between theoretical knowledge and practical application in the fields of Python programming, machine learning, and the innovative use of ChatGPT-4 in data science. The book is structured to facilitate a deep understanding of several core topics. It begins with a detailed introduction to Pandas, a cornerstone Python library for data manipulation and analysis. Next, it explores a variety of machine learning classifiers from kNN to SVMs. In later chapters, it discusses the capabilities of GPT-4, and how its application enhances traditional linear regression analysis. Finally, the book covers the innovative use of ChatGPT in data visualization. This segment focuses on how AI can transform data into compelling visual stories, making complex results accessible and understandable. It includes material on AI apps, GANs, and DALL-E. Companion files are available for downloading with code and figures from the text. |
| chat gpt writing code: AI-Assisted Programming for Web and Machine Learning Christoffer Noring, Anjali Jain, Marina Fernandez, Ayşe Mutlu, Ajit Jaokar, 2024-08-30 Speed up your development processes and improve your productivity by writing practical and relevant prompts to build web applications and Machine Learning (ML) models Purchase of the print or Kindle book includes a free PDF copy Key Features Utilize prompts to enhance frontend and backend web development Develop prompt strategies to build robust machine learning models Use GitHub Copilot for data exploration, maintaining existing code bases, and augmenting ML models into web applications Book DescriptionAI-Assisted Programming for Web and Machine Learning shows you how to build applications and machine learning models and automate repetitive tasks. Part 1 focuses on coding, from building a user interface to the backend. You’ll use prompts to create the appearance of an app using HTML, styling with CSS, adding behavior with JavaScript, and working with multiple viewports. Next, you’ll build a web API with Python and Flask and refactor the code to improve code readability. Part 1 ends with using GitHub Copilot to improve the maintainability and performance of existing code. Part 2 provides a prompting toolkit for data science from data checking (inspecting data and creating distribution graphs and correlation matrices) to building and optimizing a neural network. You’ll use different prompt strategies for data preprocessing, feature engineering, model selection, training, hyperparameter optimization, and model evaluation for various machine learning models and use cases. The book closes with chapters on advanced techniques on GitHub Copilot and software agents. There are tips on code generation, debugging, and troubleshooting code. You’ll see how simpler and AI-powered agents work and discover tool calling.What you will learn Speed up your coding and machine learning workflows with GitHub Copilot and ChatGPT Use an AI-assisted approach across the development lifecycle Implement prompt engineering techniques in the data science lifecycle Develop the frontend and backend of a web application with AI assistance Build machine learning models with GitHub Copilot and ChatGPT Refactor code and fix faults for better efficiency and readability Improve your codebase with rich documentation and enhanced workflows Who this book is for Experienced developers new to GitHub Copilot and ChatGPT can discover the best strategies to improve productivity and deliver projects quicker than traditional methods. This book is ideal for software engineers working on web or machine learning projects. It is also a useful resource for web developers, data scientists, and analysts who want to improve their efficiency with the help of prompting. This book does not teach web development or how different machine learning models work. |
| chat gpt writing code: Chat GPT 4 Unveiled: A Comprehensive Beginner's Guide to Mastering AI-Powered Conversations Guido Van, 2024-03-16 Dive into the fascinating world of artificial intelligence with Chat GPT 4 Unveiled. This comprehensive beginner's guide is your roadmap to mastering AI-powered conversations with ease. Whether you're new to the realm of AI or seeking to deepen your understanding, this book offers a clear and accessible introduction to Chat GPT 4. Unlock the secrets behind crafting engaging and meaningful conversations with AI. From understanding the fundamentals of natural language processing to harnessing the power of Chat GPT 4's advanced capabilities, this guide takes you on a journey from novice to expert. With practical tips, insightful examples, and hands-on exercises, Chat GPT 4 Unveiled empowers you to navigate the complexities of AI conversation with confidence. Say goodbye to confusion and hello to conversational excellence with this indispensable resource. |
| chat gpt writing code: Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0 D. Jude Hemanth, |
| chat gpt writing code: Programming with GitHub Copilot Kurt Dowswell, 2024-06-27 Accelerate your programming with the most popular AI coding tool on the market: GitHub Copilot In Programming with GitHub Copilot: Write Better Code — Faster, veteran software developer and GitHub community hero Kurt Dowswell delivers an insightful and hands-on exploration of GitHub's powerful, new AI coding assistant, Copilot. In the book, you'll discover how to use the tool's capabilities to push the boundaries of what you thought was possible in programming. Even if you've used autocomplete tools—like VS Code's TabNine extension—before, you'll be floored by GitHub Copilot's potential to transform the way you code. You'll learn how to install, configure, and use the software, from employing it's most common and widely used features to deploying business and enterprise functionality. You'll even discover how to fix runtime and compilation bugs and write unit, integration, and end-to-end tests. You'll also find: Prompt strategies to get GitHub Copilot to help you brainstorm new code solutions What the future looks like for AI-assisted coding, including discussions of issues like code licensing and ethics Directions for chatting with Copilot, including common commands and prompts to help you guide the conversation to where you want it to go Perfect for practicing programmers, developers, and software engineers, Programming with GitHub Copilot is also an essential resource for coders and other IT practitioners-in-training who want to expand their knowledge and improve the scope and depth of their programming skillsets. |
| chat gpt writing code: Informatics in Schools. Beyond Bits and Bytes: Nurturing Informatics Intelligence in Education Jean-Philippe Pellet, Gabriel Parriaux, 2023-09-30 This book constitutes the proceedings of the 16th International Conference on Informatics in Schools: Situation, Evolution and Perspectives, ISSEP 2023, held in Lausanne, Switzerland, during October 23–25, 2023. The 14 full papers presented in this book were carefully reviewed and selected from 47 submissions. They are organized in four topical sections named: artificial intelligence and its applications; competitions, problem solving, and computational; robotics and unplugged modalities; and curricula and computer science concepts. This is an open access book. |
| chat gpt writing code: Python All-in-One For Dummies John C. Shovic, Alan Simpson, 2024-04-09 Everything you need to know to get into Python coding, with 7 books in one Python All-in-One For Dummies is your one-stop source for answers to all your Python questions. From creating apps to building complex web sites to sorting big data, Python provides a way to get the work done. This book is great as a starting point for those new to coding, and it also makes a perfect reference for experienced coders looking for more than the basics. Apply your Python skills to data analysis, learn to write AI-assisted code using GitHub CoPilot, and discover many more exciting uses for this top programming language. Get started coding in Python—even if you’re new to computer programming Reference all the essentials and the latest updates, so your code is air-tight Learn how Python can be a solution for large-scale projects and big datasets Accelerate your career path with this comprehensive guide to learning Python Experienced and would-be coders alike will love this easy-to-follow guide to learning and applying Python. |
| chat gpt writing code: ChatGPT Guide: What It Is, How to Use It, and The Best Things You Can Do With This AI Chat Martín Arellano, |
| chat gpt writing code: CSS3 and SVG with Perplexity Oswald Campesato, 2024-12-04 This book provides an introduction to generative AI and how to use Perplexity to generate graphics code using various combinations of HTML, CSS3, and SVG. It covers various aspects of modern web development and AI technologies, with a particular emphasis on Generative AI, CSS3, SVG, JavaScript, HTML, and popular web features like 3D animations and gradients. By exploring these topics, readers will gain a deeper understanding of how AI can enhance web development processes and how to leverage AI models like Perplexity to streamline development workflows. Web developers, UI/UX designers, and software engineers seeking to blend traditional web development skills with the latest AI technologies will find this book to be a valuable resource. |
| chat gpt writing code: Artificial Intelligence in Education: The Power and Dangers of ChatGPT in the Classroom Amina Al-Marzouqi, |
| chat gpt writing code: ChatGPT for Cybersecurity Cookbook Clint Bodungen, 2024-03-29 Master ChatGPT and the OpenAI API and harness the power of cutting-edge generative AI and large language models to revolutionize the way you perform penetration testing, threat detection, and risk assessment. Key Features Enhance your skills by leveraging ChatGPT to generate complex commands, write code, and create tools Automate penetration testing, risk assessment, and threat detection tasks using the OpenAI API and Python programming Revolutionize your approach to cybersecurity with an AI-powered toolkit Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAre you ready to unleash the potential of AI-driven cybersecurity? This cookbook takes you on a journey toward enhancing your cybersecurity skills, whether you’re a novice or a seasoned professional. By leveraging cutting-edge generative AI and large language models such as ChatGPT, you'll gain a competitive advantage in the ever-evolving cybersecurity landscape. ChatGPT for Cybersecurity Cookbook shows you how to automate and optimize various cybersecurity tasks, including penetration testing, vulnerability assessments, risk assessment, and threat detection. Each recipe demonstrates step by step how to utilize ChatGPT and the OpenAI API to generate complex commands, write code, and even create complete tools. You’ll discover how AI-powered cybersecurity can revolutionize your approach to security, providing you with new strategies and techniques for tackling challenges. As you progress, you’ll dive into detailed recipes covering attack vector automation, vulnerability scanning, GPT-assisted code analysis, and more. By learning to harness the power of generative AI, you'll not only expand your skillset but also increase your efficiency. By the end of this cybersecurity book, you’ll have the confidence and knowledge you need to stay ahead of the curve, mastering the latest generative AI tools and techniques in cybersecurity.What you will learn Master ChatGPT prompt engineering for complex cybersecurity tasks Use the OpenAI API to enhance and automate penetration testing Implement artificial intelligence-driven vulnerability assessments and risk analyses Automate threat detection with the OpenAI API Develop custom AI-enhanced cybersecurity tools and scripts Perform AI-powered cybersecurity training and exercises Optimize cybersecurity workflows using generative AI-powered techniques Who this book is for This book is for cybersecurity professionals, IT experts, and enthusiasts looking to harness the power of ChatGPT and the OpenAI API in their cybersecurity operations. Whether you're a red teamer, blue teamer, or security researcher, this book will help you revolutionize your approach to cybersecurity with generative AI-powered techniques. A basic understanding of cybersecurity concepts along with familiarity in Python programming is expected. Experience with command-line tools and basic knowledge of networking concepts and web technologies is also required. |
| chat gpt writing code: The Complete Obsolete Guide to Generative AI David Clinton, 2024-08-20 The last book on AI you’ll ever need. We swear! AI technology moves so fast that this book is probably already out of date! But don’t worry—The Complete Obsolete Guide to Generative AI is still an essential read for anyone who wants to make generative AI into a tool rather than a toy. It shows you how to get the best out of AI no matter what changes come in the future. You’ll be able to use common automation and scripting tools to take AI to a new level, and access raw (and powerful) GPT models via API. Inside The Complete Obsolete Guide to Generative AI you will find: • Just enough background info on AI! What an AI model is how it works • Ways to create text, code, and images for your organization's needs • Training AI models on your local data stores or on the internet • Business intelligence and analytics uses for AI • Building your own custom AI models • Looking ahead to the future of generative AI Where to get started? How about creating exciting images, video, and even audio with AI. Need more? Learn to harness AI to speed up any everyday work task, including writing boilerplate code, creating specialized documents, and analyzing your own data. Push beyond simple ChatGPT prompts! Discover ways to double your productivity and take on projects you never thought were possible! AI—and this book—are here to show you how. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Everything you learn about Generative AI tools like Chat-GPT, Copilot, and Claude becomes obsolete almost immediately. So how do you decide where to spend your time—and your company’s money? This entertaining and unbelievably practical book shows you what you can (and should!) do with AI now and how to roll with the changes as they happen. About the book The Complete Obsolete Guide to Generative AI is a lighthearted introduction to Generative AI written for technology professionals and motivated AI enthusiasts. In it, you’ll get a quick-paced survey of AI techniques for creating code, text, images, and presentations, working with data, and much more. As you explore the hands-on exercises, you’ll build an intuition for how Generative AI can transform your daily work and communication—and maybe even learn how to make peace with your new robot overlords. What's inside • The big picture of Generative AI tools and tech • Creating useful text, code, and images • Writing effective prompts • AI-driven data analytics About the reader Written for developers, admins, and other IT pros. Some examples use simple Python code. About the author David Clinton is an AWS Solutions Architect, a Linux server administrator and a world-renowned expert on obsolescence. The technical editor on this book was Maris Sekar. Table of Contents 1 Understanding generative AI basics 2 Managing generative AI 3 Creating text and code 4 Creating with media resources 5 Feeding data to your generative AI models 6 Prompt engineering: Optimizing your experience 7 Outperforming legacy research and learning tools 8 Understanding stuff better 9 Building and running your own large language model 10 How I learned to stop worrying and love the chaos 11 Experts weigh in on putting AI to work A Important definitions and a brief history B Generative AI resources C Installing Python |
| chat gpt writing code: Building Intelligent Applications with Generative AI Yattish Ramhorry, 2024-08-22 DESCRIPTION Building Intelligent Applications with Generative AI is a comprehensive guide that unlocks the power of generative AI for building cutting-edge applications. This book covers a wide range of use cases and practical examples, from text generation and conversational agents to creative media generation and code completion. These examples are designed to help you capitalize on the potential of generative AI in your applications. Through clear explanations, step-by-step tutorials, and real-world case studies, you will learn how to prepare data and train generative AI models. You will also explore different generative AI techniques, including large language models like GPT-4, ChatGPT, Llama 2, and Google’s Gemini, to understand how they can be applied in various domains, such as content generation, virtual assistants, and code generation. With a focus on practical implementation, this book also examines ethical considerations, best practices, and future trends in generative AI. Further, this book concludes by exploring ethical considerations and best practices for building responsible GAI applications, ensuring you are harnessing this technology for good. By the end of this book, you will be well-equipped to leverage the power of GAI to build intelligent applications and unleash your creativity in innovative ways. KEY FEATURES ● Learn the fundamentals of generative AI and the practical usage of prompt engineering. ● Gain hands-on experience in building generative AI applications. ● Learn to use tools like LangChain, LangSmith, and FlowiseAI to create intelligent applications and AI chatbots. WHAT YOU WILL LEARN ● Understand generative AI (GAI) and large language models (LLMs). ● Explore real-world GAI applications across industries. ● Build intelligent applications with the ChatGPT API. ● Explore retrieval augmented generation with LangChain and Gemini Pro. ● Create chatbots with LangChain and Streamlit for data retrieval. WHO THIS BOOK IS FOR This book is for developers, data scientists, AI practitioners, and tech enthusiasts who are interested in leveraging generative AI techniques to build intelligent applications across various domains. TABLE OF CONTENTS 1. Exploring the World of Generative AI 2. Use Cases for Generative AI Applications 3. Mastering the Art of Prompt Engineering 4. Integrating Generative AI Models into Applications 5. Emerging Trends and the Future of Generative AI 6. Building Intelligent Applications with the ChatGPT API 7. Retrieval Augmented Generation with Gemini Pro 8. Generative AI Applications with Gradio 9. Visualize your Data with LangChain and Streamlit 10. Building LLM Applications with Llama 2 11. Building an AI Document Chatbot with Flowise AI 12. Best Practices for Building Applications with Generative AI 13. Ethical Considerations of Generative AI |
| chat gpt writing code: Cracking the Data Science Interview Leondra R. Gonzalez, Aaren Stubberfield, 2024-02-29 Rise above the competition and excel in your next interview with this one-stop guide to Python, SQL, version control, statistics, machine learning, and much more Key Features Acquire highly sought-after skills of the trade, including Python, SQL, statistics, and machine learning Gain the confidence to explain complex statistical, machine learning, and deep learning theory Extend your expertise beyond model development with version control, shell scripting, and model deployment fundamentals Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe data science job market is saturated with professionals of all backgrounds, including academics, researchers, bootcampers, and Massive Open Online Course (MOOC) graduates. This poses a challenge for companies seeking the best person to fill their roles. At the heart of this selection process is the data science interview, a crucial juncture that determines the best fit for both the candidate and the company. Cracking the Data Science Interview provides expert guidance on approaching the interview process with full preparation and confidence. Starting with an introduction to the modern data science landscape, you’ll find tips on job hunting, resume writing, and creating a top-notch portfolio. You’ll then advance to topics such as Python, SQL databases, Git, and productivity with shell scripting and Bash. Building on this foundation, you'll delve into the fundamentals of statistics, laying the groundwork for pre-modeling concepts, machine learning, deep learning, and generative AI. The book concludes by offering insights into how best to prepare for the intensive data science interview. By the end of this interview guide, you’ll have gained the confidence, business acumen, and technical skills required to distinguish yourself within this competitive landscape and land your next data science job.What you will learn Explore data science trends, job demands, and potential career paths Secure interviews with industry-standard resume and portfolio tips Practice data manipulation with Python and SQL Learn about supervised and unsupervised machine learning models Master deep learning components such as backpropagation and activation functions Enhance your productivity by implementing code versioning through Git Streamline workflows using shell scripting for increased efficiency Who this book is for Whether you're a seasoned professional who needs to brush up on technical skills or a beginner looking to enter the dynamic data science industry, this book is for you. To get the most out of this book, basic knowledge of Python, SQL, and statistics is necessary. However, anyone familiar with other analytical languages, such as R, will also find value in this resource as it helps you revisit critical data science concepts like SQL, Git, statistics, and deep learning, guiding you to crack through data science interviews. |
| chat gpt writing code: New Dimensions in Educational Sciences Without Borders İ. Alper KÖSE, Nazlıcan TOKSOY ELMACI, Özkan SAPSAĞLAM, Banu İNAN-KARAGÜL, Şahin DÜNDAR, Filiz KABAPINAR , Yücel KABAPINAR, Metin ELKATMIŞ, Büşra USLUOĞLU, Aylin MENTİŞ KÖKSOY , Belgin LİMAN, Ramazan YILDIRIM , Şaban ORTAK, Necmettin KÜRTÜL, Sema SOYDAN, Ayber ACAR, Recep KÜREKLİ , İlhami SARIÇAM, F. Munevver SAATCİOGLU, 2022-12-25 New Dimensions in Educational Sciences Without Borders, Livre de Lyon |
Iowa Football | Iowa Hawkeyes fan forums - Hawkeye Beacon
Jun 6, 2025 · Proven Players will be paid the most when IOWA Football divides roughly $15.1M in Revenue Sharing betw the 105 Roster Players.
在使用cursor导入deepseek的API时报错如下所示，该怎么办？
是因为你的验证模型没有选对，你在添加了deepseek-chat模型之后得把 除了deepseek模型之外的所有模型全部取消勾选 ，才会用deepseek的模型去验证，这样你的apikey才会被应用到chat。
deepseek的chat和reasoner功能有何区别？ - 知乎
Chat是陪你唠嗑的“社牛客服”，Reasoner是帮你算账的“理科状元”。 一、定位差异：唠嗑VS算账 Chat 就像火锅店服务员： 能记住你上次点的麻辣锅底，接梗吐槽毫无压力，适合做客服、写段子、陪聊 …
现在这些大模型，哪个在代码编写上表现的最好呀？ - 知乎
2）MarsCode IDE. MarsCode 是豆包旗下的AI智能编程工具，它分为网页版和编程插件。提供以智能代码补全为代表的核心能力，能在编码过程中提供单行或整个函数的建议，同时支持在用户编码过程中 …
chat GPT近 2 年更新了 7 个版本，哪个最好用？ - 知乎
这7个版本基本上涵盖了从ChatGPT刚出世，到现在的最新版本。 但事实上，OpenAI只会开放最新的几个版本给用户，你看下面这张图，现在ChatGPT上可用的模型，其实分为两部分，左边是GPT 4o …
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GA Tech transfer Chazadi ‘Chit-Chat’ Wright has committed to Iowa
Apr 24, 2025 · Here's a couple of insightful articles on our newest playmaker (Chit-Chat) with her own remarks about herself and her new team. Chazadi ‘Chit-Chat’ Wright has committed to Iowa …
GA Tech transfer Chazadi ‘Chit-Chat’ Wright has committed to Iowa
Apr 23, 2025 · Frankly I think money is a better explanation of Iowa's portal activity. Iowa was in on Heckel (per Skim), but the rumored price tag was $500k. Chit-Chat's rumored price tag is …
Iowa Hawkeyes fan forums - Hawkeye Beacon
Hawkeye Beacon: Complete football, basketball, baseball and recruiting coverage and breaking news of the University of Iowa Hawkeyes.
GA Tech transfer Chazadi ‘Chit-Chat’ Wright has committed to Iowa
Apr 23, 2025 · I am exciting to see Chit Chat and KF on the court at the same time, from a defensive standpoint. They are going to be very disruptive to opposing teams trying to get into their …
Iowa Football | Iowa Hawkeyes fan forums - Hawkeye Beacon
Jun 6, 2025 · Proven Players will be paid the most when IOWA Football divides roughly $15.1M in Revenue Sharing …
在使用cursor导入deepseek的API时报错如下所示，该怎么办…
是因为你的验证模型没有选对，你在添加了deepseek-chat模型之后得把 除了deepseek模型之外的所有模型全部取消 …
deepseek的chat和reasoner功能有何区别？ - 知乎
Chat是陪你唠嗑的“社牛客服”，Reasoner是帮你算账的“理科状元”。 一、定位差异：唠嗑VS算账 Chat 就像火锅店服务员： 能记住 …
现在这些大模型，哪个在代码编写上表现的最好呀？ - 知乎
2）MarsCode IDE. MarsCode 是豆包旗下的AI智能编程工具，它分为网页版和编程插件。提供以智能代码补全为代表的核心能 …
chat GPT近 2 年更新了 7 个版本，哪个最好用？ - 知乎
这7个版本基本上涵盖了从ChatGPT刚出世，到现在的最新版本。 但事实上，OpenAI只会开放最新的几个版本给用户，你看下面 …
