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data science side hustles: AI Side Hustles Sam Choo, AI Side Hustles: How to Make Money with Artificial Intelligence Tools Unlock the power of Artificial Intelligence to create profitable side hustles and take control of your financial future! In AI Side Hustles, you’ll discover how easy it is to leverage cutting-edge AI tools—without any coding experience—to build passive income streams, automate business processes, and grow your entrepreneurial ventures. From content creation and chatbots to real estate automation and AI-powered digital marketing, this book guides you step by step on how to tap into the rapidly expanding world of AI. Whether you’re an aspiring entrepreneur, freelancer, or looking to scale your current business, AI Side Hustles provides actionable insights, real-life case studies, and easy-to-use tools that will help you get started today. What you’ll learn: * How to generate passive income by selling AI-generated content and models * Automating digital marketing and lead generation with AI * Building and selling chatbots as a service to businesses * Using AI to streamline and scale your side hustle efficiently * Ethical considerations and legal aspects of using AI in business With this practical guide, you don’t need to be a tech expert to thrive in the AI revolution. Your AI-powered future begins now—start building your dream side hustle today! |
data science side hustles: Side Hustles and Startups Heavy Chef, 2024-09-01 So you’ve come up with a killer business idea and you’re ready to turn it into a side hustle or startup. What now? What do you need to do to bring it to life? Whether you’re looking to earn some extra money on the side or dreaming of starting The Next Big Thing, Side Hustles and Startups is packed with the information you need to take this big step into your bright future. We’ll teach you how to: Find your passion. Test your idea. Write a business plan. Get funding. Ace your business admin, tax and compliance. Brand and market your business. Manage your money. Set up systems. Build your team. Take care of you. Heavy Chef sat down with some of South Africa’s foremost entrepreneurs, side hustlers, strategists, marketing whizzes, venture capitalists and, yes, even tax specialists to help you get going. Combined, they have centuries of experience in creating and growing side hustles and startups. We’ve turned their advice into bite-sized lessons for you to snack on – as if you’re firing off instant messages to these trailblazers whenever you get stuck on your journey. Go on. Start up and hustle away. |
data science side hustles: Build a Career in Data Science Emily Robinson, Jacqueline Nolis, 2020-03-24 Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career. About the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book. What's inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists About the reader For readers who want to begin or advance a data science career. About the author Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor. Table of Contents: PART 1 - GETTING STARTED WITH DATA SCIENCE 1. What is data science? 2. Data science companies 3. Getting the skills 4. Building a portfolio PART 2 - FINDING YOUR DATA SCIENCE JOB 5. The search: Identifying the right job for you 6. The application: Résumés and cover letters 7. The interview: What to expect and how to handle it 8. The offer: Knowing what to accept PART 3 - SETTLING INTO DATA SCIENCE 9. The first months on the job 10. Making an effective analysis 11. Deploying a model into production 12. Working with stakeholders PART 4 - GROWING IN YOUR DATA SCIENCE ROLE 13. When your data science project fails 14. Joining the data science community 15. Leaving your job gracefully 16. Moving up the ladder |
data science side hustles: 100 Side Hustles Chris Guillebeau, 2019-06-04 Best-selling author Chris Guillebeau presents a full-color ideabook featuring 100 stories of regular people launching successful side businesses that almost anyone can do. This unique guide features the startup stories of regular people launching side businesses that almost anyone can do: an urban tour guide, an artist inspired by maps, a travel site founder, an ice pop maker, a confetti photographer, a group of friends who sell hammocks to support local economies, and many more. In 100 Side Hustles, best-selling author of The $100 Startup Chris Guillebeau presents a colorful idea book filled with inspiration for your next big idea. Distilled from Guillebeau's popular Side Hustle School podcast, these case studies feature teachers, artists, coders, and even entire families who've found ways to create new sources of income. With insights, takeaways, and photography that reveals the human element behind the hustles, this playbook covers every important step of launching a side hustle, from identifying underserved markets to crafting unique products and services that spring from your passions. Soon you'll find yourself joining the ranks of these innovative entrepreneurs--making money on the side while living your best life. |
data science side hustles: Business Statistics for Contemporary Decision Making Ignacio Castillo, Ken Black, Tiffany Bayley, 2023-05-08 Show students why business statistics is an increasingly important business skill through a student-friendly pedagogy. In this fourth Canadian edition of Business Statistics For Contemporary Decision Making authors Ken Black, Tiffany Bayley, and Ignacio Castillo uses current real-world data to equip students with the business analytics techniques and quantitative decision-making skills required to make smart decisions in today's workplace. |
data science side hustles: The Side Hustle Nick Loper, 2019-04-22 Make Money and Live BetterThe Side Hustle is for people who want or need to earn some extra money outside of their day jobs. Maybe you need a few extra dollars to make ends meet. Maybe you want to pay off debt.Maybe you want to save for a rainy day or for your children's education. Maybe you just want to treat yourself to a nice vacation or a new car without feeling guilty about it. Maybe you're looking for a way out of the corporate world, an escape plan. That's the ultimate financial freedom, right?That's how I got started down this entrepreneurial path, and it's the best choice I ever made.You're willing to work for it because your future is worth working for.But your time is limited, and you may not know where to start. There are a million and one ways to make money online and everyone wants to sell you their proven system for Internet riches. It's hard to tell what's a scam and what's legit. Real-World ExamplesThis book offers real-world examples of how regular people just like you and me are earning side hustle income outside of traditional employment. Many have even turned these part-time ventures into full-time businesses, throwing off the shackles of their corporate overlords for good.And the cool thing is, there are no special technical skills or prerequisites to get started with any of the ideas presented. Most don't require any big scary upfront investment. (If you're a fan of Chris Guillebeau, Pat Flynn, or Tim Ferriss, you'll love this!)Why Side Hustle?> Build Skills Build Security Build Income Build Freedom My StoryAfter college, I did what you're supposed to do: I got a job.The problem was almost immediately I found myself looking for a way out. It wasn't that I hated the work or my coworkers, but it just wasn't what I wanted to do with my life. The thought of spending my next 30 years there was terrifying.So evenings and weekends I turned my attention online. I'd been dabbling with building rudimentary websites, learning online advertising channels, and even running my own small marketing campaigns for other companies' products to test the waters. And that's what The Side Hustle is about-finding a low-risk way make more money. Most entrepreneurship books assume you have limitless time and limitless startup capital, but I know from talking to thousands of side hustlers, that's simply not the reality. I started small and lean, but steadily built up my side hustle until I could say good-bye to corporate work. You can do it, too. I'll show you how.What's Inside?If you're looking for a get-rich-quick-scheme or the secret to overnight success, you won't find it here. But what you will find are the Big 3 side hustle business models you can take action on right away.I've interviewed hundreds of profitable side hustlers on The Side Hustle Show to figure out how their businesses work, how they make money, and most importantly, how you can replicate their success.In this book, you'll meet these real-world side hustlers who built and sustained businesses they care about. They faced the same fears and uncertainties you're wrestling with, but made something happen.Now it's your turn. What are you waiting for? The timing will never be perfect. Scroll up and hit the Buy Now button to grab your copy now! |
data science side hustles: Data Mining and Predictive Analytics Daniel T. Larose, 2015-02-19 Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified “white box” approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets. Data Mining and Predictive Analytics: Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming language Features over 750 chapter exercises, allowing readers to assess their understanding of the new material Provides a detailed case study that brings together the lessons learned in the book Includes access to the companion website, www.dataminingconsultant, with exclusive password-protected instructor content Data Mining and Predictive Analytics will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives. |
data science side hustles: Fifty Challenging Problems in Probability with Solutions Frederick Mosteller, 2012-04-26 Remarkable puzzlers, graded in difficulty, illustrate elementary and advanced aspects of probability. These problems were selected for originality, general interest, or because they demonstrate valuable techniques. Also includes detailed solutions. |
data science side hustles: Artificial Intelligence and the Future of Defense Stephan De Spiegeleire, Matthijs Maas, Tim Sweijs, 2017-05-17 Artificial intelligence (AI) is on everybody’s minds these days. Most of the world’s leading companies are making massive investments in it. Governments are scrambling to catch up. Every single one of us who uses Google Search or any of the new digital assistants on our smartphones has witnessed first-hand how quickly these developments now go. Many analysts foresee truly disruptive changes in education, employment, health, knowledge generation, mobility, etc. But what will AI mean for defense and security? In a new study HCSS offers a unique perspective on this question. Most studies to date quickly jump from AI to autonomous (mostly weapon) systems. They anticipate future armed forces that mostly resemble today’s armed forces, engaging in fairly similar types of activities with a still primarily industrial-kinetic capability bundle that would increasingly be AI-augmented. The authors of this study argue that AI may have a far more transformational impact on defense and security whereby new incarnations of ‘armed force’ start doing different things in novel ways. The report sketches a much broader option space within which defense and security organizations (DSOs) may wish to invest in successive generations of AI technologies. It suggests that some of the most promising investment opportunities to start generating the sustainable security effects that our polities, societies and economies expect may lie in in the realms of prevention and resilience. Also in those areas any large-scale application of AI will have to result from a preliminary open-minded (on all sides) public debate on its legal, ethical and privacy implications. The authors submit, however, that such a debate would be more fruitful than the current heated discussions about ‘killer drones’ or robots. Finally, the study suggests that the advent of artificial super-intelligence (i.e. AI that is superior across the board to human intelligence), which many experts now put firmly within the longer-term planning horizons of our DSOs, presents us with unprecedented risks but also opportunities that we have to start to explore. The report contains an overview of the role that ‘intelligence’ - the computational part of the ability to achieve goals in the world - has played in defense and security throughout human history; a primer on AI (what it is, where it comes from and where it stands today - in both civilian and military contexts); a discussion of the broad option space for DSOs it opens up; 12 illustrative use cases across that option space; and a set of recommendations for - especially - small- and medium sized defense and security organizations. |
data science side hustles: Office 2013 For Dummies Wallace Wang, 2013-02-13 Office 2013 For Dummies is the key to your brand new Office! Packed with straightforward, friendly instruction, this update to one of the bestselling Office books of all time gets you thoroughly up to speed and helps you learn how to take full advantage of the new features in Office 2013. After coverage of the fundamentals, you'll discover how to spice up your Word documents, edit Excel spreadsheets and create formulas, add pizazz to your PowerPoint presentation, and much more. Helps you harness the power of all five Office 2013 applications: Word, Excel, PowerPoint, Outlook, and Access Discusses typing and formatting text in Word and easy ways to dress up your documents with color, graphics, and more Demonstrates navigating and editing an Excel spreadsheet, creating formulas, and charting and analyzing Excel data Walks you through creating a PowerPoint presentation and adding some punch with color, sound, pictures, and videos Explores Outlook, including configuring e-mail, storing contacts, organizing tasks, scheduling your time, and setting appointments Delves into designing Access databases, including editing, modifying, searching, sorting, and querying; also covers viewing and printing reports, and more The fun and friendly approach of Office 2013 For Dummies makes doing Office work easy and efficient! |
data science side hustles: Data Science For Dummies Lillian Pierson, 2021-08-20 Monetize your company’s data and data science expertise without spending a fortune on hiring independent strategy consultants to help What if there was one simple, clear process for ensuring that all your company’s data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that’s most prime for achieving profitability while also moving your company closer to its business vision? There is. Industry-acclaimed data science consultant, Lillian Pierson, shares her proprietary STAR Framework – A simple, proven process for leading profit-forming data science projects. Not sure what data science is yet? Don’t worry! Parts 1 and 2 of Data Science For Dummies will get all the bases covered for you. And if you’re already a data science expert? Then you really won’t want to miss the data science strategy and data monetization gems that are shared in Part 3 onward throughout this book. Data Science For Dummies demonstrates: The only process you’ll ever need to lead profitable data science projects Secret, reverse-engineered data monetization tactics that no one’s talking about The shocking truth about how simple natural language processing can be How to beat the crowd of data professionals by cultivating your own unique blend of data science expertise Whether you’re new to the data science field or already a decade in, you’re sure to learn something new and incredibly valuable from Data Science For Dummies. Discover how to generate massive business wins from your company’s data by picking up your copy today. |
data science side hustles: Data Science and Intelligent Systems Radek Silhavy, Petr Silhavy, Zdenka Prokopova, 2021-11-16 This book constitutes the second part of refereed proceedings of the 5th Computational Methods in Systems and Software 2021 (CoMeSySo 2021) proceedings. The real-world problems related to data science and algorithm design related to systems and software engineering are presented in this papers. Furthermore, the basic research’ papers that describe novel approaches in the data science, algorithm design and in systems and software engineering are included. The CoMeSySo 2021 conference is breaking the barriers, being held online. CoMeSySo 2021 intends to provide an international forum for the discussion of the latest high-quality research results |
data science side hustles: The Million-Dollar, One-Person Business, Revised Elaine Pofeldt, 2018-01-02 The self-employment revolution is here. Learn the latest pioneering tactics from real people who are bringing in $1 million a year on their own terms. Join the record number of people who have ended their dependence on traditional employment and embraced entrepreneurship as the ultimate way to control their futures. Determine when, where, and how much you work, and by what values. With up-to-date advice and more real-life success stories, this revised edition of The Million-Dollar, One-Person Business shows the latest strategies you can apply from everyday people who--on their own--are bringing in $1 million a year to live exactly how they want. |
data science side hustles: Business Intelligence Demystified Anoop Kumar V K, 2021-09-25 Clear your doubts about Business Intelligence and start your new journey KEY FEATURES ● Includes successful methods and innovative ideas to achieve success with BI. ● Vendor-neutral, unbiased, and based on experience. ● Highlights practical challenges in BI journeys. ● Covers financial aspects along with technical aspects. ● Showcases multiple BI organization models and the structure of BI teams. DESCRIPTION The book demystifies misconceptions and misinformation about BI. It provides clarity to almost everything related to BI in a simplified and unbiased way. It covers topics right from the definition of BI, terms used in the BI definition, coinage of BI, details of the different main uses of BI, processes that support the main uses, side benefits, and the level of importance of BI, various types of BI based on various parameters, main phases in the BI journey and the challenges faced in each of the phases in the BI journey. It clarifies myths about self-service BI and real-time BI. The book covers the structure of a typical internal BI team, BI organizational models, and the main roles in BI. It also clarifies the doubts around roles in BI. It explores the different components that add to the cost of BI and explains how to calculate the total cost of the ownership of BI and ROI for BI. It covers several ideas, including unconventional ideas to achieve BI success and also learn about IBI. It explains the different types of BI architectures, commonly used technologies, tools, and concepts in BI and provides clarity about the boundary of BI w.r.t technologies, tools, and concepts. The book helps you lay a very strong foundation and provides the right perspective about BI. It enables you to start or restart your journey with BI. WHAT YOU WILL LEARN ● Builds a strong conceptual foundation in BI. ● Gives the right perspective and clarity on BI uses, challenges, and architectures. ● Enables you to make the right decisions on the BI structure, organization model, and budget. ● Explains which type of BI solution is required for your business. ● Applies successful BI ideas. WHO THIS BOOK IS FOR This book is a must-read for business managers, BI aspirants, CxOs, and all those who want to drive the business value with data-driven insights. TABLE OF CONTENTS 1. What is Business Intelligence? 2. Why do Businesses need BI? 3. Types of Business Intelligence 4. Challenges in Business Intelligence 5. Roles in Business Intelligence 6. Financials of Business Intelligence 7. Ideas for Success with BI 8. Introduction to IBI 9. BI Architectures 10. Demystify Tech, Tools, and Concepts in BI |
data science side hustles: Side Jobs Jim Butcher, 2011-12-06 With tales ranging from the deadly serious to the absurdly hilarious—including an original story for this volume—Side Jobs is a must-have collection for every devoted Harry Dresden fan. As Chicago’s only professional wizard, Harry Dresden has had cases that have pitted him against insane necromancers, power-hungry faerie queens, enigmatic dark wizards, fallen angels—pretty much a “who’s who” of hell and beyond—with the stakes in each case ranging from a lone human soul to the entire human race. But not every adventure Harry Dresden undertakes is an epic tale of life and death in a world on the edge of annihilation. Here, together for the first time in paperback, are the shorter works of #1 New York Times bestselling author Jim Butcher—a compendium of cases that Harry and his cadre of allies managed to close in record time. “One of the giants of urban fantasy…delivers some great stories in this volume…This is a great collection, featuring a hero who's proven himself over and over again, as well as delving into the odd corners of his fascinating and fantastic world. Highly recommended.”—SFRevu |
data science side hustles: Machine Learning Peter Flach, 2012-09-20 Covering all the main approaches in state-of-the-art machine learning research, this will set a new standard as an introductory textbook. |
data science side hustles: Breaking Into Acting For Dummies Larry Garrison, Wallace Wang, 2011-03-10 Provides the expert advice you need to get your big break! Jump-start your career and land that paying part From preparing for auditions to finding an agent, the acting business is a challenging and competitive field. This indispensable guide is what every aspiring actor needs to get a foot in the door. Discover how to market yourself, choose a dynamic head shot, create a stellar acting resume, join unions, and pay the bills while you pursue your acting dreams. The Dummies Way * Explanations in plain English * Get in, get out information * Icons and other navigational aids * Tear-out cheat sheet * Top ten lists * A dash of humor and fun |
data science side hustles: Big Data For Dummies Judith S. Hurwitz, Alan Nugent, Fern Halper, Marcia Kaufman, 2013-04-02 Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization. |
data science side hustles: Financial Autonomy Paul Benson, 2022-01-01 Financial Autonomy is a fresh, innovative book about money. But unlike most money books, it's not focused on making you the richest person in your street, or worse, the richest person in the cemetery. Instead, the focus of this book is on gaining choice. What can you do on the money side of your life, to provide you with the choice to pursue maximum happiness in all the other aspects of your life.Have you ever listened to a guest on a radio program or a speaker at an event talking about some amazing experience they've had? Perhaps it was traveling through Tibet in a beaten-up Land Rover, sailing around the world, jumping out of planes in a wing suit, or starting a business or charity of their own, driven by a magnitude 10 passion to make an impact.And when listening to these inspiring stories, have you ever wondered how they managed to organise their life so that it was possible? Do you wish you could organise your life to do what's important to you?Financial Autonomy is a book about money but it's equally about gaining choice. If you get the money side of your life right, you will have the choice to pursue maximum happiness in all the other aspects of your life. Personal finance expert Paul Benson believes there are three vehicles to create enough wealth to have the choices you desire are: (1) Investing in shares; (2) Investing in property; and (3) Working for yourself (starting a side hustle or small business). He explores these in detail, as well budgeting and saving - and as you'd expect, he gives readers a choice of strategies they can adopt to succeed in these areas. |
data science side hustles: 20 Easy Side Hustles to Make Money Online ASAP Christopher Höhne, 2023-04-03 This book is the blueprint of making money online! 20 different strategies of making money online from affiliate marketing to SEO and trading are broken down and laid out for you to understand and apply right away. So, start reading the blueprint, like Michael Scofield in Prison Break, to escape.. |
data science side hustles: Designing Great Data Products Jeremy Howard, Margit Zwemer, Mike Loukides, 2012-03-23 In the past few years, we’ve seen many data products based on predictive modeling. These products range from weather forecasting to recommendation engines like Amazon's. Prediction technology can be interesting and mathematically elegant, but we need to take the next step: going from recommendations to products that can produce optimal strategies for meeting concrete business objectives. We already know how to build these products: they've been in use for the past decade or so, but they're not as common as they should be. This report shows how to take the next step: to go from simple predictions and recommendations to a new generation of data products with the potential to revolutionize entire industries. |
data science side hustles: The Progress Principle Teresa Amabile, Steven Kramer, 2011-07-19 What really sets the best managers above the rest? It’s their power to build a cadre of employees who have great inner work lives—consistently positive emotions; strong motivation; and favorable perceptions of the organization, their work, and their colleagues. The worst managers undermine inner work life, often unwittingly. As Teresa Amabile and Steven Kramer explain in The Progress Principle, seemingly mundane workday events can make or break employees’ inner work lives. But it’s forward momentum in meaningful work—progress—that creates the best inner work lives. Through rigorous analysis of nearly 12,000 diary entries provided by 238 employees in 7 companies, the authors explain how managers can foster progress and enhance inner work life every day. The book shows how to remove obstacles to progress, including meaningless tasks and toxic relationships. It also explains how to activate two forces that enable progress: (1) catalysts—events that directly facilitate project work, such as clear goals and autonomy—and (2) nourishers—interpersonal events that uplift workers, including encouragement and demonstrations of respect and collegiality. Brimming with honest examples from the companies studied, The Progress Principle equips aspiring and seasoned leaders alike with the insights they need to maximize their people’s performance. |
data science side hustles: The Ultimate Side Hustle Book Elana Varon, 2018-12-04 Get your side hustle on with this handy guide that gives you hundreds of ideas on how to make extra cash—and have fun doing it! Do you work a regular job, but still find yourself wishing you had a little extra money? Or maybe you just want some extra fulfillment after hours that you just aren’t finding in your 9-5. A second job—also known as a side hustle—might be the answer! Learn how to take advantage of the gig economy and turn your time, space, skills, or stuff into extra cash. The Ultimate Side Hustle Book presents up-to-the minute research on 450 fun, resourceful, and often rewarding side hustle jobs, including detailed information on the skills you need and experience required for each, how easy it is to find work, and of course, pay rates—all in an easy-to-read and fun-to-use format. In addition to helpful facts and figures, you’ll find real-life anecdotes and tips from successful side hustlers sprinkled throughout. From dog walking and tutoring to vehicle advertising and refereeing recreational sports leagues, you’re sure to find that perfect side hustle that fits you and your lifestyle. |
data science side hustles: Machine Learning Bookcamp Alexey Grigorev, 2021-11-23 The only way to learn is to practice! In Machine Learning Bookcamp, you''ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image and text analysis, each new project builds on what you''ve learned in previous chapters. By the end of the bookcamp, you''ll have built a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. about the technology Machine learning is an analysis technique for predicting trends and relationships based on historical data. As ML has matured as a discipline, an established set of algorithms has emerged for tackling a wide range of analysis tasks in business and research. By practicing the most important algorithms and techniques, you can quickly gain a footing in this important area. Luckily, that''s exactly what you''ll be doing in Machine Learning Bookcamp. about the book In Machine Learning Bookcamp you''ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Beginning as a novice, you''ll start with the basic concepts of ML before tackling your first challenge: creating a car price predictor using linear regression algorithms. You''ll then advance through increasingly difficult projects, developing your skills to build a churn prediction application, a flight delay calculator, an image classifier, and more. When you''re done working through these fun and informative projects, you''ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems. what''s inside Code fundamental ML algorithms from scratch Collect and clean data for training models Use popular Python tools, including NumPy, Pandas, Scikit-Learn, and TensorFlow Apply ML to complex datasets with images and text Deploy ML models to a production-ready environment about the reader For readers with existing programming skills. No previous machine learning experience required. about the author Alexey Grigorev has more than ten years of experience as a software engineer, and has spent the last six years focused on machine learning. Currently, he works as a lead data scientist at the OLX Group, where he deals with content moderation and image models. He is the author of two other books on using Java for data science and TensorFlow for deep learning. |
data science side hustles: ChatGPT Side Hustles Omar Johnson, 2024-01-18 Discover a world where artificial intelligence isn't just a buzzword but a tangible tool to reshape the financial landscape of your life. In ChatGPT Side Hustles, delve deep into the expansive possibilities of OpenAI's ChatGPT, unveiling its potential not just as a technological marvel but as a catalyst for unparalleled financial success. This guide is meticulously crafted for those ready to harness the digital renaissance and convert cutting-edge AI advancements into sustainable income streams, consistent cashflow, and lasting wealth. Inside this book, you will explore: A comprehensive introduction to ChatGPT's vast capabilities. Real-world applications, from education to business, travel planning to personal growth. Expert insights into crafting tailored solutions using ChatGPT's dynamic features. Step-by-step strategies to monetize these applications, complete with pricing models and marketing techniques. Over 100 actionable prompts to kickstart your ChatGPT journey. Whether you're a seasoned entrepreneur, a passionate side hustler, or someone eager to dive into the world of AI-powered ventures, this book is your roadmap. It's not just about the future of business; it's about shaping your future. Unleash the power of AI. Redefine your financial destiny! |
data science side hustles: Start Up Nation Jeffrey Sloan, Richard Sloan, 2005 A guide to starting a profitable business includes advice, tips, and strategies for assessing one's tolerance for risk, taking advantage of one's skills, avoiding common mistakes, and focusing on what one loves to do. |
data science side hustles: Learn Python 3 the Hard Way Zed A. Shaw, 2017-06-26 You Will Learn Python 3! Zed Shaw has perfected the world’s best system for learning Python 3. Follow it and you will succeed—just like the millions of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else. In Learn Python 3 the Hard Way, you’ll learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you’ll learn how a computer works; what good programs look like; and how to read, write, and think about code. Zed then teaches you even more in 5+ hours of video where he shows you how to break, fix, and debug your code—live, as he’s doing the exercises. Install a complete Python environment Organize and write code Fix and break code Basic mathematics Variables Strings and text Interact with users Work with files Looping and logic Data structures using lists and dictionaries Program design Object-oriented programming Inheritance and composition Modules, classes, and objects Python packaging Automated testing Basic game development Basic web development It’ll be hard at first. But soon, you’ll just get it—and that will feel great! This course will reward you for every minute you put into it. Soon, you’ll know one of the world’s most powerful, popular programming languages. You’ll be a Python programmer. This Book Is Perfect For Total beginners with zero programming experience Junior developers who know one or two languages Returning professionals who haven’t written code in years Seasoned professionals looking for a fast, simple, crash course in Python 3 |
data science side hustles: Generating Product Ideas Artiom Dashinsky, 2020-08-01 Find ideas for your new next business, side hustle, or indie startup. Today every skill for building a product can be learnt online — coding, design, marketing — besides one: generating new product ideas. With this book, you will learn 17 actionable techniques for finding ideas to start your next profitable SaaS, physical, digital, services or content business. “The way to get good ideas is to get lots of ideas… — Linus Pauling, Nobel Prize laureate What will you learn from this book? - Find ideas — Discover actionable techniques to immediately find problems to build businesses around. - Notice opportunities — Learn the mental models that will help you to start noticing problems in the future and convert them into products later. - Find niche markets — Learn how to define the audiences that you’d enjoy serving and explore opportunities in their niches. - Prioritize ideas — Sort ideas with the biggest potential impact to fit your business and personal goals. |
data science side hustles: Get Your Numbers Right Chanie Liberow, 2019-11 |
data science side hustles: The White Coat Investor James M. Dahle, 2014-01 Written by a practicing emergency physician, The White Coat Investor is a high-yield manual that specifically deals with the financial issues facing medical students, residents, physicians, dentists, and similar high-income professionals. Doctors are highly-educated and extensively trained at making difficult diagnoses and performing life saving procedures. However, they receive little to no training in business, personal finance, investing, insurance, taxes, estate planning, and asset protection. This book fills in the gaps and will teach you to use your high income to escape from your student loans, provide for your family, build wealth, and stop getting ripped off by unscrupulous financial professionals. Straight talk and clear explanations allow the book to be easily digested by a novice to the subject matter yet the book also contains advanced concepts specific to physicians you won't find in other financial books. This book will teach you how to: Graduate from medical school with as little debt as possible Escape from student loans within two to five years of residency graduation Purchase the right types and amounts of insurance Decide when to buy a house and how much to spend on it Learn to invest in a sensible, low-cost and effective manner with or without the assistance of an advisor Avoid investments which are designed to be sold, not bought Select advisors who give great service and advice at a fair price Become a millionaire within five to ten years of residency graduation Use a Backdoor Roth IRA and Stealth IRA to boost your retirement funds and decrease your taxes Protect your hard-won assets from professional and personal lawsuits Avoid estate taxes, avoid probate, and ensure your children and your money go where you want when you die Minimize your tax burden, keeping more of your hard-earned money Decide between an employee job and an independent contractor job Choose between sole proprietorship, Limited Liability Company, S Corporation, and C Corporation Take a look at the first pages of the book by clicking on the Look Inside feature Praise For The White Coat Investor Much of my financial planning practice is helping doctors to correct mistakes that reading this book would have avoided in the first place. - Allan S. Roth, MBA, CPA, CFP(R), Author of How a Second Grader Beats Wall Street Jim Dahle has done a lot of thinking about the peculiar financial problems facing physicians, and you, lucky reader, are about to reap the bounty of both his experience and his research. - William J. Bernstein, MD, Author of The Investor's Manifesto and seven other investing books This book should be in every career counselor's office and delivered with every medical degree. - Rick Van Ness, Author of Common Sense Investing The White Coat Investor provides an expert consult for your finances. I now feel confident I can be a millionaire at 40 without feeling like a jerk. - Joe Jones, DO Jim Dahle has done for physician financial illiteracy what penicillin did for neurosyphilis. - Dennis Bethel, MD An excellent practical personal finance guide for physicians in training and in practice from a non biased source we can actually trust. - Greg E Wilde, M.D Scroll up, click the buy button, and get started today! |
data science side hustles: The Side Hustle Path: 10 Proven Ways to Make Money Outside of Your Day Job Nick Loper, 2015-03-03 Earn Extra Cash The Side Hustle Path is for people who want or need to earn some extra money outside of their day jobs. Maybe you need a few extra dollars to make ends meet. Maybe you want to pay off debt. Maybe you want to save for a rainy day, or for your children’s education. Maybe you just want to treat yourself to a nice vacation or a new car without feeling guilty about it. Maybe you’re looking for a way out of the corporate world, an escape plan. That’s the ultimate financial freedom, right? That’s how I got started down this entrepreneurial path, and it’s been the best choice I ever made. You’re willing to work for it, because your future is worth working for. The challenge is time is limited, and you may not know where to start. There are a million and one ways to “make money online” and everyone wants to sell you their “proven system for Internet riches.” It’s hard to tell what’s a scam and what’s legit. Real-World Examples This book offers 10 real-world examples of how regular people just like you and me are earning side hustle income outside of traditional employment. Many have even turned these part-time ventures into full-time businesses, throwing off the shackles of their corporate overlords for good. And the cool thing is, there are no special technical skills or prerequisites to get started with any of the ideas presented. Most don’t require any big scary upfront investment. Why Side Hustle?Build Skills Build Security Build Income Build Freedom My Story After college, I did what you’re supposed to do: I got a job. The problem was almost immediately I found myself looking for a way out. It wasn’t that I hated the work or my coworkers, but it just wasn’t what I wanted to do with my life. The thought of spending my next 30 years there was terrifying. So evenings and weekends I turned my attention online. I’d been dabbling with building rudimentary websites, learning online advertising channels, and even running my own small marketing campaigns for other company’s products to test the waters. And that’s what The Side Hustle Path is about; finding a low-risk way make more money. If you’re looking for a get-rich-quick-scheme or the secret to overnight success, you won’t find it here. But what you will find are 10 down-to-earth entrepreneurs who were once sitting in your same position. They felt the same fears and uncertainties, but took action anyway. What are you waiting for? Scroll up and download your copy now! |
data science side hustles: Bullshit Jobs David Graeber, 2019-05-07 From David Graeber, the bestselling author of The Dawn of Everything and Debt—“a master of opening up thought and stimulating debate” (Slate)—a powerful argument against the rise of meaningless, unfulfilling jobs…and their consequences. Does your job make a meaningful contribution to the world? In the spring of 2013, David Graeber asked this question in a playful, provocative essay titled “On the Phenomenon of Bullshit Jobs.” It went viral. After one million online views in seventeen different languages, people all over the world are still debating the answer. There are hordes of people—HR consultants, communication coordinators, telemarketing researchers, corporate lawyers—whose jobs are useless, and, tragically, they know it. These people are caught in bullshit jobs. Graeber explores one of society’s most vexing and deeply felt concerns, indicting among other villains a particular strain of finance capitalism that betrays ideals shared by thinkers ranging from Keynes to Lincoln. “Clever and charismatic” (The New Yorker), Bullshit Jobs gives individuals, corporations, and societies permission to undergo a shift in values, placing creative and caring work at the center of our culture. This book is for everyone who wants to turn their vocation back into an avocation and “a thought-provoking examination of our working lives” (Financial Times). |
data science side hustles: Data Science from Scratch Joel Grus, 2015-04-14 Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases |
data science side hustles: The Broke and Beautiful Life Stefanie O'Connell, 2015-01-01 After moving to New York City to become a Broadway actress, Stefanie O'Connell faced one of two inevitabilities when faced with unemployment--spiral into debt or learn how to effectively manage her money. Punctuated with humor, insight, and essential money management lessons, The Broke and Beautiful Life offers practical strategies to make smarter financial decisions today as a means to fulfill the goals and dreams of tomorrow. Specializing in personal finance (with an emphasis on personal), Stefanie engages those who shy away from the word investing, scoff at the word budget, and equate interest rates with snooze fest. She encourages readers to redefine their relationship with money and approach budgeting as an exciting and sexy tool to transform from broke to beautiful while enjoying every step along the way. |
data science side hustles: Data Science Job: How to become a Data Scientist Przemek Chojecki, 2020-01-31 We’re living in a digital world. Most of our global economy is digital and the sheer volume of data is stupendous. It’s 2020 and we’re living in the future. Data Scientist is one of the hottest job on the market right now. Demand for data science is huge and will only grow, and it seems like it will grow much faster than the actual number of data scientists. So if you want to make a career change and become a data scientist, now is the time. This book will guide you through the process. From my experience of working with multiple companies as a project manager, a data science consultant or a CTO, I was able to see the process of hiring data scientists and building data science teams. I know what’s important to land your first job as a data scientist, what skills you should acquire, what you should show during a job interview. |
data science side hustles: Switchers Dr. Dawn Graham, 2018-06-26 Are you stuck in an unsatisfying job or feel like you’re in the wrong profession? An industry that just isn’t a fit? Don’t just settle but succeed in the right career! Get unstuck and land a new career—one you’re genuinely passionate about. Switchers helps you realize that dream. Written by celebrated career coach and psychologist Dr. Dawn Graham, the book provides proven strategies that will get you where you want to go. The first step is to recognize that the usual rules and job search tools won’t work for you. Resumes and job boards were designed with traditional applicants in mind. As a career switcher, you have to go beyond the basics, using tactics tailor-made to ensure your candidacy stands out. In Switchers, Dr. Graham reveals how to: Understand the concerns of hiring managers Craft a resume that catches their attention within six seconds Spotlight transferable skills that companies covet Rebrand yourself—aligning your professional identity with your new aspirations Reach decision-makers by recruiting “ambassadors” from within your network Nail interviews by turning tough questions to your advantage Convince skeptical employers to shelve their assumptions and take a chance on you Negotiate a competitive salary and benefits package Packed with psychological insights, practical exercises, and inspiring success stories, Switchers helps you leap over obstacles and into a whole new field. This guide will help you pull off the most daring—and fulfilling—career move of your life! |
data science side hustles: Data Lakes For Dummies Alan R. Simon, 2021-07-14 Take a dive into data lakes “Data lakes” is the latest buzz word in the world of data storage, management, and analysis. Data Lakes For Dummies decodes and demystifies the concept and helps you get a straightforward answer the question: “What exactly is a data lake and do I need one for my business?” Written for an audience of technology decision makers tasked with keeping up with the latest and greatest data options, this book provides the perfect introductory survey of these novel and growing features of the information landscape. It explains how they can help your business, what they can (and can’t) achieve, and what you need to do to create the lake that best suits your particular needs. With a minimum of jargon, prolific tech author and business intelligence consultant Alan Simon explains how data lakes differ from other data storage paradigms. Once you’ve got the background picture, he maps out ways you can add a data lake to your business systems; migrate existing information and switch on the fresh data supply; clean up the product; and open channels to the best intelligence software for to interpreting what you’ve stored. Understand and build data lake architecture Store, clean, and synchronize new and existing data Compare the best data lake vendors Structure raw data and produce usable analytics Whatever your business, data lakes are going to form ever more prominent parts of the information universe every business should have access to. Dive into this book to start exploring the deep competitive advantage they make possible—and make sure your business isn’t left standing on the shore. |
data science side hustles: Work Disrupted Jeff Schwartz, 2021-01-07 If you only read one book on the future of work, Work Disrupted: Opportunity, Resilience, and Growth in the Accelerated Future of Work should be that book. The future of work swept in sooner than expected, accelerated by Covid-19, creating an urgent need for new maps, new mindsets, new strategies-- and most importantly, a trusted guide to take us on this journey. That guide is Jeff Schwartz. A founding partner of Deloitte Consulting’s Future of Work practice, Schwartz brings clarity, humor, wisdom, and practical advice to the future of work, a topic surrounded by misinformation, fear, and confusion. With a fundamental belief in the power of human innovation and creativity, Schwartz presents the key issues, critical choices, and potential pitfalls that must be on everyone’s radar. If you're anxious about robots taking away your job in the future, you will take comfort in the realistic perspective, fact-based insights, and practical steps Schwartz offers. If you're not sure where to even begin to prepare, follow his level-headed advice and easy-to-follow action plans. If you're a business leader caught between keeping up, while also being thoughtful about the next moves, you will appreciate the playbook directed at you. If you're wondering how Covid-19 will change how and where you will work, Work Disrupted has you covered. Written in a conversational style by Schwartz, with Suzanne Riss, an award-winning journalist and book author, Work Disrupted offers a welcome alternative to books on the topic that lack a broad perspective or dwell on the problems rather than offer solutions. Timely and insightful, the book includes the impact of Covid-19 on our present and future work. Interviews with leading thinkers on the future of work offer additional perspectives and guidance.Cartoons created for the book by leading business illustrator Tom Fishburne bring to life the reader’s journey and the complex issues surrounding the topic. Told from the perspective of an economist, management advisor, and social commentator, Work Disrupted offers hope--and practical advice--exploring such topics as: How we frame what lies ahead is a critical navigational tool. Discover the signposts that can serve as practical guides for individuals who have families to support, mortgages to pay, and want to stay gainfully employed no matter what the future holds. The importance of recognizing the rapidly evolving opportunities in front of us. Learn how to build resilience—in careers, organizations, and leaders—for what lies ahead. Why exploring new mental models helps us discover the steps we need to take to thrive. Individuals can decide how to protect their livelihood while businesses and public institutions can consider how they can lead and support workforces to thrive in twenty-first-century careers and work. Jeff's marvelous book is a roadmap for the new world of work with clear signposts. His insights will help readers discover opportunities, take action, and find hope in uncertain times. The ideas are fresh, beautifully crafted, and immediately applicable. This is not only a book to be read, but savored and used. —Dave Ulrich, Rensis Likert Professor, Ross School of Business, University of Michigan; Partner, the RBL Group; Co-author Reinventing the Organization |
data science side hustles: Human-in-the-Loop Machine Learning Robert Munro, Robert Monarch, 2021-07-20 Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data, lowers costs, and helps you ship models faster. Human-in-the-loop machine learning lays out methods for humans and machines to work together effectively. You'll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You'll learn to dreate training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows. |
data science side hustles: Machine Learning in Python Michael Bowles, 2015-04-27 Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, data preparation, and using the trained models in practice. You will learn a core set of Python programming techniques, various methods of building predictive models, and how to measure the performance of each model to ensure that the right one is used. The chapters on penalized linear regression and ensemble methods dive deep into each of the algorithms, and you can use the sample code in the book to develop your own data analysis solutions. Machine learning algorithms are at the core of data analytics and visualization. In the past, these methods required a deep background in math and statistics, often in combination with the specialized R programming language. This book demonstrates how machine learning can be implemented using the more widely used and accessible Python programming language. Predict outcomes using linear and ensemble algorithm families Build predictive models that solve a range of simple and complex problems Apply core machine learning algorithms using Python Use sample code directly to build custom solutions Machine learning doesn't have to be complex and highly specialized. Python makes this technology more accessible to a much wider audience, using methods that are simpler, effective, and well tested. Machine Learning in Python shows you how to do this, without requiring an extensive background in math or statistics. |
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