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| computer science linkedin background: LinkedIn For Dummies Joel Elad, 2018-03-07 Make LinkedIn your number one professional branding tool LinkedIn is the premiere social network for professionals looking to discover new opportunities, enhance personal branding, connect with other professionals, and make career advancements. With LinkedIn For Dummies, you’ll have step-by-step instructions on how to take advantage of the latest tools and features to do all of this and more. This book will teach you how to create an attractive profile that employers will notice, as well as ways to expand your network by making connections around the globe. You'll also learn how to best navigate the new user interface, write recommendations, take a course with LinkedIn Learning, and conduct your job search. Create an appealing, detailed profile Establish your credibility and personal brand Connect with employers and find jobs Request and write recommendations Whether you’re one of LinkedIn’s 500 million global members or brand new to the site, this authoritative resource helps you get the most out of the world’s largest professional network. |
| computer science linkedin background: Grokking Algorithms Aditya Bhargava, 2016-05-12 This book does the impossible: it makes math fun and easy! - Sander Rossel, COAS Software Systems Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel. Continue your journey into the world of algorithms with Algorithms in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/algorithms-?in-motion). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs. About the Book Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them. What's Inside Covers search, sort, and graph algorithms Over 400 pictures with detailed walkthroughs Performance trade-offs between algorithms Python-based code samples About the Reader This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. About the Author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Table of Contents Introduction to algorithms Selection sort Recursion Quicksort Hash tables Breadth-first search Dijkstra's algorithm Greedy algorithms Dynamic programming K-nearest neighbors |
| computer science linkedin background: Building Data Science Teams DJ Patil, 2011-09-15 As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success. Topics include: What it means to be data driven. The unique roles of data scientists. The four essential qualities of data scientists. Patil's first-hand experience building the LinkedIn data science team. |
| computer science linkedin background: Cracking the Coding Interview Gayle Laakmann McDowell, 2011 Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. Ten Mistakes Candidates Make -- And How to Avoid Them: Don't lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues. Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time. |
| computer science linkedin background: Revolutionizing Curricula Through Computational Thinking, Logic, and Problem Solving Fonkam, Mathias Mbu, Vajjhala, Narasimha Rao, 2024-06-03 In today's rapidly evolving educational landscape, traditional teaching methods often fail to equip students with the skills necessary for success in the 21st century. The siloed approach to education, where subjects are taught in isolation, must reflect the interconnected nature of modern challenges. This disconnect between traditional educational models and the needs of the future workforce is a serious concern among educators. They face the challenge of preparing students for professions that still need to be created using tools and technologies that are still emerging. Revolutionizing Curricula Through Computational Thinking, Logic, and Problem Solving offers a transformative solution to this challenge. By advocating for computational thinking as a fundamental skill set applicable across all academic disciplines, the book provides educators with the tools to bridge this gap. It introduces computational thinking not just as a technical skill but as a way of problem-solving and logical reasoning that enhances critical thinking across subjects. Through practical lesson plans, case studies, and strategies, educators can seamlessly integrate computational thinking into their classrooms, preparing students for the complexities of the modern world. |
| computer science linkedin background: Developer Hegemony Erik Dietrich, It’s been said that software is eating the planet. The modern economy—the world itself—relies on technology. Demand for the people who can produce it far outweighs the supply. So why do developers occupy largely subordinate roles in the corporate structure? Developer Hegemony explores the past, present, and future of the corporation and what it means for developers. While it outlines problems with the modern corporate structure, it’s ultimately a play-by-play of how to leave the corporate carnival and control your own destiny. And it’s an emboldening, specific vision of what software development looks like in the world of developer hegemony—one where developers band together into partner firms of “efficiencers,” finally able to command the pay, respect, and freedom that’s earned by solving problems no one else can. Developers, if you grow tired of being treated like geeks who can only be trusted to take orders and churn out code, consider this your call to arms. Bring about the autonomous future that’s rightfully yours. It’s time for developer hegemony. |
| computer science linkedin background: 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. |
| computer science linkedin background: Computer Science and Applications Ally Hu, 2015-06-11 The 2014 Asia-Pacific Conference on Computer Science and Applications was held in Shanghai, December 27-28, 2014. These CSAC-2014 proceedings include 105 selected papers, which focus not only on the research of science and technology of computer sciences, but also on the research of applications, aiming at a quick and immediate effect on |
| computer science linkedin background: Intelligent Computing Kohei Arai, 2023-10-02 This book is a collection of insightful and unique state-of the-art papers presented at the Computing Conference which took place in London on June 22–23, 2023. A total of 539 papers were received out of which 193 were selected for presenting after double-blind peer-review. The book covers a wide range of scientific topics including IoT, Artificial Intelligence, Computing, Data Science, Networking, Data security and Privacy, etc. The conference was successful in reaping the advantages of both online and offline modes. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this book interesting and valuable. We also expect that the conference and its publications will be a trigger for further related research and technology improvements in this important subject. |
| computer science linkedin background: Computer Science Engineering and Emerging Technologies Rajeev Sobti, Rachit Garg, Ajeet Kumar Srivastava, Gurpeet Singh Shahi, 2024-06-07 The year 2022 marks the 100th birth anniversary of Kathleen Hylda Valerie Booth, who wrote the first assembly language and designed the assembler and auto code for the first computer systems at Birkbeck College, University of London. She helped design three different machines including the ARC (Automatic Relay Calculator), SEC (Simple Electronic Computer), and APE(X). School of Computer Science and Engineering, under the aegis of Lovely Professional University, pays homage to this great programmer of all times by hosting “BOOTH100”—6th International Conference on Computing Sciences. |
| computer science linkedin background: HT THINK LIKE A COMPUTER SCIEN Jeffrey Elkner, Allen B. Downey, Chris Meyers, 2016-10-04 The goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions. The single most important skill for a computer scientist is problem solving. Problem solving means the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills. That's why this chapter is called, The way of the program. On one level, you will be learning to program, a useful skill by itself. On another level, you will use programming as a means to an end. As we go along, that end will become clearer. |
| computer science linkedin background: What Is Data Science? Mike Loukides, 2011-04-10 We've all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2.0, Tim O'Reilly said that data is the next Intel Inside. But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many sides of data science -- the technologies, the companies and the unique skill sets.The web is full of data-driven apps. Almost any e-commerce application is a data-driven application. There's a database behind a web front end, and middleware that talks to a number of other databases and data services (credit card processing companies, banks, and so on). But merely using data isn't really what we mean by data science. A data application acquires its value from the data itself, and creates more data as a result. It's not just an application with data; it's a data product. Data science enables the creation of data products. |
| computer science linkedin background: Handbook of the Language Industry Gary Massey, Maureen Ehrensberger-Dow, Erik Angelone, 2024-07-01 Digital transformation and demographic change are profoundly affecting the contexts in which the language industry operates, the resources it deploys and the roles and skillsets of those it employs. Driven by evolving digital resources and socio-ethical demands, the roles and responsibilities deriving from the proliferation of new and emerging profiles in the language industry are transcending the traditional bounds of core activities and competences associated with prototypical concepts of translation and interpreting. This volume focuses on the realities in the language industry from the fresh perspective of current and emerging professional profiles and of the contexts and resources that condition and support them. It traces the industry's evolution, maps its current state and considers key aspects of its workplaces, actors and practices. In an age when artificial intelligence is challenging traditionally held views of human performance, it addresses the issue of where and how human agents add value to the industry's processes and products, with a detailed, research-based consideration of the activities, competences, roles, responsibilities and tools that characterize the language industry of today and the near future. |
| computer science linkedin background: Think Python Allen B. Downey, 2015-12-02 If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3. Through exercises in each chapter, youâ??ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand objects, methods, and object-oriented programming Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design, data structures, and GUI-based programs through case studies |
| computer science linkedin background: Big Data Now: Current Perspectives from O'Reilly Radar O'Reilly Radar Team, 2011-08-30 This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the last year. Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year later, we can look back over all we’ve covered and identify a number of core data areas: Data issues -- The opportunities and ambiguities of the data space are evident in discussions around privacy, the implications of data-centric industries, and the debate about the phrase “data science” itself. The application of data: products and processes – A “data product” can emerge from virtually any domain, including everything from data startups to established enterprises to media/journalism to education and research. Data science and data tools -- The tools and technologies that drive data science are of course essential to this space, but the varied techniques being applied are also key to understanding the big data arena. The business of data – Take a closer look at the actions connected to data -- the finding, organizing, and analyzing that provide organizations of all sizes with the information they need to compete. |
| computer science linkedin background: Machine Learning Kamal Kant Hiran, Ritesh Kumar Jain, Dr. Kamlesh Lakhwani, Dr Ruchi Doshi, 2021-09-16 Concepts of Machine Learning with Practical Approaches. KEY FEATURES ● Includes real-scenario examples to explain the working of Machine Learning algorithms. ● Includes graphical and statistical representation to simplify modeling Machine Learning and Neural Networks. ● Full of Python codes, numerous exercises, and model question papers for data science students. DESCRIPTION The book offers the readers the fundamental concepts of Machine Learning techniques in a user-friendly language. The book aims to give in-depth knowledge of the different Machine Learning (ML) algorithms and the practical implementation of the various ML approaches. This book covers different Supervised Machine Learning algorithms such as Linear Regression Model, Naïve Bayes classifier Decision Tree, K-nearest neighbor, Logistic Regression, Support Vector Machine, Random forest algorithms, Unsupervised Machine Learning algorithms such as k-means clustering, Hierarchical Clustering, Probabilistic clustering, Association rule mining, Apriori Algorithm, f-p growth algorithm, Gaussian mixture model and Reinforcement Learning algorithm such as Markov Decision Process (MDP), Bellman equations, policy evaluation using Monte Carlo, Policy iteration and Value iteration, Q-Learning, State-Action-Reward-State-Action (SARSA). It also includes various feature extraction and feature selection techniques, the Recommender System, and a brief overview of Deep Learning. By the end of this book, the reader can understand Machine Learning concepts and easily implement various ML algorithms to real-world problems. WHAT YOU WILL LEARN ● Perform feature extraction and feature selection techniques. ● Learn to select the best Machine Learning algorithm for a given problem. ● Get a stronghold in using popular Python libraries like Scikit-learn, pandas, and matplotlib. ● Practice how to implement different types of Machine Learning techniques. ● Learn about Artificial Neural Network along with the Back Propagation Algorithm. ● Make use of various recommended systems with powerful algorithms. WHO THIS BOOK IS FOR This book is designed for data science and analytics students, academicians, and researchers who want to explore the concepts of machine learning and practice the understanding of real cases. Knowing basic statistical and programming concepts would be good, although not mandatory. TABLE OF CONTENTS 1. Introduction 2. Supervised Learning Algorithms 3. Unsupervised Learning 4. Introduction to the Statistical Learning Theory 5. Semi-Supervised Learning and Reinforcement Learning 6. Recommended Systems |
| computer science linkedin background: Cyberemotions Janusz A. Holyst, 2016-10-25 This first monograph of its kind introduces the reader to fundamental definitions, key concepts and case studies addressing the following issues of rapidly growing relevance for online communities: What are emotions? How do they emerge, how are they transmitted? How can one measure emotional states? What are cyberemotions? When do emotions and cyberemotions become collective phenomena? How can one model emotions and their changes? What role do emotions play for on-line communities? Edited and authored by leading scientists in this field, this book is a comprehensive reference for anyone working on applications of complex systems methods in the social sciences, as well as for social scientists, psychologists, experts in on-line communities and computer scientists. This book provides an excellent overview of the current state-of-art in research on collective emotional interactions mediated by the Internet. It introduces a reader in social phenomena occurring in cyberspace, algorithms needed for automatic sentiment detection and data driven modeling of emotional patterns observed in on-line groups. Eugene Stanley, Professor, Boston UniversityWith the explosive hyper-exponential growth of the internet suddenly new ways of communication are emerging that give rise to a digital 'Homo empathicus', each of us suddenly being able to share thoughts and feelings with millions if not billions of others. This book is a true treat, a timely milestone that gives us insight in the co-evolution of the way we interact with each other and the communication technology provided through this new seemingly endless flexible digital world. Prof. Holyst did a great job bringing together real experts in the field of cyber emotions. Peter M.A. Sloot, Professor, University of Amsterdam, the Netherlands, Nanyang University, Singapore The book Cyberemotions embraces the topic of emotion studies in cyberspace from a very rich spectrum of points of view and applications. It is particularly interesting reading the theoretical foundations underlying the concepts of cyberemotions and how these concepts can be captured, modeled and implemented in real-time applications. Catherine Pelachaud, Director of Research CNRS at LTCI, TELECOM ParisTechLogical machines give us a chance to analyze our often illogical behaviors, especially in the vast meadows of the cyberspace. In this important book, authors of different backgrounds present a wide and deep image, not only of methods of analyzing our emotional behavior online but also how the computers can help to break communicational walls the same technology had built. Rafal Rzepka, Professor, Hokkaido University |
| computer science linkedin background: How to Avoid Career Suicide? Suman V R, 2018-10-17 This book provides useful insights young professionals need to achieve career success. The contents of this book are not the usual success mantras like integrity, determination, excellence and commitment. It is based on the lessons learnt from career and life experiences of seasoned professionals. Warren Buffett has famously quoted ‘It’s good to learn from your mistakes. It’s better to learn from other people’s mistakes.’ Likewise, it is a smart idea to use this book to your advantage. Hopefully, the topics discussed in this book become food for thought to be pursued and incorporated in building a great career. |
| computer science linkedin background: The AIGA Guide to Careers in Graphic and Communication Design Juliette Cezzar, 2017-10-05 What graphic design is, what designers need to know, and who becomes a designer have all evolved as the computer went from being a tool to also becoming our primary medium for communication. How jobs are advertised and how prospective candidates communicate with prospective employers have changed as well, as has the culture and context for many workplaces, requiring new approaches for how to find your first (and last) position. Through clear prose, a broad survey of contexts where designers find themselves in the present day, and interviews with designers, The AIGA Guide to Careers in Graphic and Communication Design is an invaluable resource for finding your place in this quickly changing and growing field. The book includes interviews with over 40 designers at all levels working in-house and out-of-house in studios, consultancies, or alone, including: Nicholas Blechman, The New Yorker; Rob Giampietro, Google; Njoki Gitahi, IDEO; Hilary Greenbaum, Whitney Museum; Holly Gressley, Vox Media; Cemre G�ng�r, Facebook; Natasha Jen, Pentagram; Renda Morton, The New York Times; and Alisa Wolfson, Leo Burnett Worldwide. |
| computer science linkedin background: Our Least Important Asset , 2023-07-25 A comprehensive and insightful look at the modern workplace and how employees are managed, where the new approach is driven by the quirks of financial accounting to the detriment of employees and the long-term success of the organization. Real wages have stagnated or declined for most workers, job insecurity has increased, and retirement income is uncertain. Hours of work for white collar employees have increased steadily, opportunities for advancement have withered, and evidence of the negative effects of workplace stress on health continues to accumulate. Why have jobs gotten so much worse? As Peter Cappelli argues, these issues are not a result of companies trying to be cost effective. They stem from the logic of financial accounting--the arbiter for determining whether a company is maximizing shareholder value--and its fundamental flaws in dealing with human capital. Financial accounting views employee costs as fixed costs that cannot be reduced and fails to account for the costs of bad employees and poor management. The simple goal of today's executives is to drive down employment costs, even if it raises costs elsewhere. In Our Least Important Asset, Cappelli argues that the financial accounting problem explains many puzzling practices in contemporary management--employers' emphasis on costs per hire over the quality of hires, the replacement of regular employees with leased workers, the shift to unlimited vacations, and the transition of hiring responsibilities from professional recruiters to more expensive line managers. In the process, employers undercut all the evidence about what works to improve the quality, productivity, and creativity of workers. Drawing on decades of experience and research, Cappelli provides a comprehensive and insightful critique of the modern workplace where the gaps in financial accounting make things worse for everyone, from employees to investors. |
| computer science linkedin background: From Big Data to Big Profits Russell Walker, 2015-07-01 Technological advancements in computing have changed how data is leveraged by businesses to develop, grow, and innovate. In recent years, leading analytical companies have begun to realize the value in their vast holdings of customer data and have found ways to leverage this untapped potential. Now, more firms are following suit and looking to monetize Big Data for big profits. Such changes will have implications for both businesses and consumers in the coming years. In From Big Data to Big Profits, Russell Walker investigates the use of Big Data to stimulate innovations in operational effectiveness and business growth. Walker examines the nature of Big Data and how businesses can use it to create new monetization opportunities. Using case studies of Apple, Netflix, Google, LinkedIn, Zillow, Amazon, and other leaders in the use of Big Data, Walker explores how digital platforms such as mobile apps and social networks are changing the nature of customer interactions and the way Big Data is created and used by companies. Such changes, as Walker points out, will require careful consideration of legal and unspoken business practices as they affect consumer privacy. Companies looking to develop a Big Data strategy will find great value in the SIGMA framework, which he has developed to assess companies for Big Data readiness and provide direction on the steps necessary to get the most from Big Data. Rigorous and meticulous, From Big Data to Big Profits is a valuable resource for students, researchers, and professionals with an interest in Big Data, digital platforms, and analytics |
| computer science linkedin background: A New U Ryan Craig, 2018-09-11 Every year, the cost of a four-year degree goes up, and the value goes down. But for many students, there's a better answer. So many things are getting faster and cheaper. Movies stream into your living room, without ticket or concession-stand costs. The world's libraries are at your fingertips instantly, and for free. So why is a college education the only thing that seems immune to change? Colleges and universities operate much as they did 40 years ago, with one major exception: tuition expenses have risen dramatically. What's more, earning a degree takes longer than ever before, with the average time to graduate now over five years. As a result, graduates often struggle with enormous debt burdens. Even worse, they often find that degrees did not prepare them to obtain and succeed at good jobs in growing sectors of the economy. While many learners today would thrive with an efficient and affordable postsecondary education, the slow and pricey road to a bachelor's degree is starkly the opposite. In A New U: Faster + Cheaper Alternatives to College, Ryan Craig documents the early days of a revolution that will transform—or make obsolete—many colleges and universities. Alternative routes to great first jobs that do not involve a bachelor's degree are sprouting up all over the place. Bootcamps, income-share programs, apprenticeships, and staffing models are attractive alternatives to great jobs in numerous growing sectors of the economy: coding, healthcare, sales, digital marketing, finance and accounting, insurance, and data analytics. A New U is the first roadmap to these groundbreaking programs, which will lead to more student choice, better matches with employers, higher return on investment of cost and time, and stronger economic growth. |
| computer science linkedin background: ECSM 2018 5th European Conference on Social Media Prof. Vincent Cunnane, Dr. Niall Corcoran, 2018-06-21 These proceedings represent the work of researchers participating in the 5th European Conference on Social Media (ECSM 2018) which is being hosted this year by Limerick Institute of Technology, Ireland on 21-22 June 2018. |
| computer science linkedin background: Justification for Murder Elin Barnes, 2013-11-12 Thriller, first in a series. |
| computer science linkedin background: American Men and Women in Medicine, Applied Sciences and Engineering with Roots in Czechoslovakia Miloslav Rechcigl Jr., 2021-02-17 No comprehensive study has been undertaken about the American learned men and women with Czechoslovak roots. The aim of this work is to correct this glaring deficiency, with the focus on men and women in medicine, applied sciences and engineering. It covers immigration from the period of mass migration and beyond, irrespective whether they were born in their European ancestral homes or whether they have descended from them. This compendium clearly demonstrates the Czech and Slovak immigrants, including Bohemian Jews, have brought to the New World, in these areas, their talents, their ingenuity, the technical skills, their scientific knowhow, as well as their humanistic and spiritual upbringing, reflecting upon the richness of their culture and traditions, developed throughout centuries in their ancestral home. This accounts for their remarkable success and achievements of theses settlers in the New World, transcending through their descendants, as this publication demonstrates. The monograph has been organized into sections by subject areas, i.e., Medicine, Allied Health Sciences and Social Services, Agricultural and Food Science, Earth and Environmental Sciences and Engineering. Each individual entry is usually accompanied with literature, and additional biographical sources for readers who wish to pursue a deeper study. The selection of individuals has been strictly based on geographical vantage, without regards to their native language or ethnical background. Some of the entries may surprise you, because their Czech or Slovak ancestry has not been generally known. What is conspicuous is a large percentage of listed individuals being Jewish, which is a reflection of high-level of education and intellect of Bohemian Jews. A prodigious number of accomplished women in this study is also astounding, considering that, in the 19th century, they rarely had careers and most professions refused entry to them. |
| computer science linkedin background: Changing the Game Lucy Chow, 2022-09-27 The Future Is Now Video games are more than interactive entertainment; they are part of a multibillion-dollar industry you may have never heard of. Beyond the stereotypical isolated teenager, today’s players represent every demographic and every part of the world. Championship competitions in esports—complete with professional players, teams, and lucrative sponsorships—are often broadcast to audiences rivaling that of the Super Bowl. And the gaming industry is bursting with investment opportunities, emerging career paths, and innovation. Investment expert Lucy Chow has selected 34 essays from thought leaders in the gaming industry. These curated perspectives of the global network of game-changing esports insiders provide a back-stage pass to the impact and future of gaming. This diverse group of players, entrepreneurs, investors, and educators pull back the curtain, revealing the use of gaming in schools, the growing roles of women in the field, and innovative business opportunities. In building bridges among these, Chow welcomes you into a thriving community to discover a new opportunity for your own success. |
| computer science linkedin background: Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016) Ajith Abraham, Aswani Kumar Cherukuri, Ana Maria Madureira, Azah Kamilah Muda, 2017-08-17 This volume presents 70 carefully selected papers from a major joint event: the 8th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016) and the 8th International Conference on Computational Aspects of Social Networks (CASoN 2016). SoCPaR–CASoN 2016, which was organized by the Machine Intelligence Research Labs (MIR Labs), USA and Vellore Institute of Technology (VIT), India and held at the VIT on December 19–21, 2016. It brings together researchers and practitioners from academia and industry to share their experiences and exchange new ideas on all interdisciplinary areas of soft computing and pattern recognition, as well as intelligent methods applied to social networks. This book is a valuable resource for practicing engineers/scientists and researchers working in the field of soft computing, pattern recognition and social networks. |
| computer science linkedin background: Inside Book Publishing Giles Clark, Angus Phillips, 2014-06-27 Now in its fifth edition, Inside Book Publishing remains the classic introduction to the book publishing industry, being both a manual for the profession for over two decades and the bestselling textbook for students of publishing. This new edition has been fully updated to respond to the rapid changes in the market and technology. Now more global in its references and scope, the book explores the tensions and trends affecting the industry, including the growth of ebooks, self-publishing, and online retailing, and new business models and workflows. The book provides excellent overviews of the main aspects of the publishing process, including commissioning, product development, design and production, marketing, sales and distribution. The book remains essential reading for publishing students, those seeking a career in publishing, recent entrants to the industry, and authors seeking an insider’s view. The accompanying website supports the book by providing up-to-date and relevant content. |
| computer science linkedin background: Introducing Computing Lawrence Williams, 2014-08-07 This timely new text provides an accessible introduction to teaching Computing, and computer programming. Specifically designed for non-specialists who need to develop new skills in Computing in order to meet the new curriculum requirements, it offers a useful guide to the subject, alongside worked examples of good practice. Packed full of practical advice, the book examines different approaches to introducing children from age 5 to Computing, and describes a wide range of tried and tested projects that have been proven to work in schools. Including case studies and a glossary of key terms, it covers: The key concepts in Computing and computational thinking Using personal learning networks, social media and the 'wiki curriculum' to develop higher thinking skills and desirable learner characteristics Links to the curriculum at Key Stages 1, 2 and 3 Practical ways to develop children’s Computing skills alongside creative writing, art and music Gaming and computer science Featuring a companion website www.literacyfromscratch.org.uk with extensive support materials, examples of pupils’ work, links to software and downloadable lesson plans, this is an essential text for all teachers and trainees who are responsible for the new Computing curriculum. |
| computer science linkedin background: Professional Practice in Engineering and Computing Riadh Habash, 2019-03-18 This book has been developed with an intellectual framework to focus on the challenges and specific qualities applicable to graduates on the threshold of their careers. Young professionals have to establish their competence in complying with multifaceted sets of ethical, environmental, social, and technological parameters. This competence has a vital impact on the curricula of higher education programs, because professional bodies today rely on accredited degrees as the main route for membership. Consequently, this four-part book makes a suitable resource for a two-semester undergraduate course in professional practice and career development in universities and colleges. With its comprehensive coverage of a large variety of topics, each part of the book can be used as a reference for other related courses where sustainability, leadership, systems thinking and professional practice are evident and increasingly visible. Features Identifies the values that are unique to the engineering and computing professions, and promotes a general understanding of what it means to be a member of a profession Explains how ethical and legal considerations play a role in engineering practice Discusses the importance of professional communication and reflective practice to a range of audiences Presents the practices of leadership, innovation, entrepreneurship, safety and sustainability in engineering design Analyzes and discusses the contemporary practices of project management, artificial intelligence, and professional career development. |
| computer science linkedin background: The Data Gaze David Beer, 2018-10-29 A significant new way of understanding contemporary capitalism is to understand the intensification and spread of data analytics. This text is about the powerful promises and visions that have led to the expansion of data analytics and data-led forms of social ordering. It is centrally concerned with examining the types of knowledge associated with data analytics and shows that how these analytics are envisioned is central to the emergence and prominence of data at various scales of social life. This text aims to understand the powerful role of the data analytics industry and how this industry facilitates the spread and intensification of data-led processes. As such, The Data Gaze is concerned with understanding how data-led, data-driven and data-reliant forms of capitalism pervade organisational and everyday life. Using a clear theoretical approach derived from Foucault and critical data studies, the text develops the concept of the data gaze and shows how powerful and persuasive it is. It’s an essential and subversive guide to data analytics and data capitalism. |
| computer science linkedin background: Ethical Dimensions of AI Development Bhattacharya, Pronaya, Hassan, Ahdi, Liu, Haipeng, Bhushan, Bharat, 2024-10-17 The digital age has witnessed the meteoric rise of artificial intelligence (AI), a paradigm-shifting technology that has redefined the boundaries of computation and decision-making. Initially, AI's journey began with basic rule-based systems, evolving into the current digital age is dominated by complex machine learning and deep learning models. The digital AI presence and progression has brought with it a myriad of ethical challenges, necessitating a rigorous examination of AI's role in complex and interconnected systems. Ethical Dimensions of AI Development notes that the core of these challenges are issues of privacy, transparency, and validity. AI's ability to process vast datasets can intrude on individual privacy, while opaque algorithmic decision-making processes can obscure transparency. Addressing these ethical concerns is crucial to fostering trust and ensuring the responsible use of AI technologies in society. Covering topics such as accountability, discrimination, and privacy and security, this book is an essential resource for AI researchers and developers, data scientists, ethicists, policy makers, legal professionals, technology industry leaders, and more. |
| computer science linkedin background: The IoT Architect's Guide to Attainable Security and Privacy Damilare D. Fagbemi, David Wheeler, JC Wheeler, 2019-10-08 This book describes how to architect and design Internet of Things (loT) solutions that provide end-to-end security and privacy at scale. It is unique in its detailed coverage of threat analysis, protocol analysis, secure design principles, intelligent loT's impact on privacy, and the effect of usability on security. The book also unveils the impact of digital currency and the dark web on the loT-security economy. It's both informative and entertaining. Filled with practical and relevant examples based on years of experience ... with lively discussions and storytelling related to loT security design flaws and architectural issues.— Dr. James F. Ransome, Senior Director of Security Development Lifecycle (SOL) Engineering, Intel 'There is an absolute treasure trove of information within this book that will benefit anyone, not just the engineering community. This book has earned a permanent spot on my office bookshelf.— Erv Comer, Fellow of Engineering, Office of Chief Architect Zebra Technologies 'The importance of this work goes well beyond the engineer and architect. The IoT Architect's Guide to Attainable Security & Privacy is a crucial resource for every executive who delivers connected products to the market or uses connected products to run their business.— Kurt Lee, VP Sales and Strategic Alliances at PWNIE Express If we collectively fail to follow the advice described here regarding loT security and Privacy, we will continue to add to our mounting pile of exploitable computing devices. The attackers are having a field day. Read this book, now.— Brook S.E. Schoenfield, Director of Advisory Services at IOActive, previously Master Security Architect at McAfee, and author of Securing Systems |
| computer science linkedin background: Digital Dreams Rajesh Vasant Upasani, 2024-05-01 Greetings, dear readers! Embarking on a journey towards a fulfilling career is both exciting and challenging, especially in the dynamic world of Information Technology (IT). As the author of Digital Dreams I am thrilled to guide you through the diverse landscape of IT-related jobs available for Indian students. In the ever-evolving digital era, India has emerged as a global IT hub, presenting a myriad of opportunities for aspiring individuals. This book is crafted with the intention of serving as your trusted companion in understanding, exploring, and ultimately pursuing a rewarding career in the field of IT. Within these pages, you will discover valuable insights into various IT roles, ranging from Data Entry Operator to Software Engineer. I have endeavoured to present complex information in a simple and accessible manner, ensuring that both beginners and those familiar with the IT realm can grasp the nuances of each job profile. Digital Dreams aims to demystify the IT industry and empower you to make informed decisions about your professional journey. Whether you are a student contemplating your career path or someone seeking a transition into the IT sector, this book will provide you with the knowledge and confidence to navigate the exciting opportunities that lie ahead. As we delve into the pages of Digital Dreams”, let us embark together on a journey of exploration, learning, and growth. May this guide serve as a beacon, helping you navigate the vast and ever-changing landscape of IT careers in India. Wishing you success and fulfilment in your IT endeavours! Warm regards, RajeshVasant Upasani |
| computer science linkedin background: LangChain in your Pocket Mehul Gupta, 2024-05-15 Learn about LangChain and LLMs with LangChain in your Pocket, a comprehensive guide to leveraging this innovative framework for building language-based applications. Key Features Step-by-step code explanations with expected outputs for each solution Practical examples and hands-on tutorials for real-world application Detailed discussions on managing and evaluating large language models Book DescriptionLangChain in your Pocket offers a detailed exploration into the LangChain framework, designed to enhance your skills in developing sophisticated language understanding models and applications. This book begins with the basics, introducing you to the fundamental concepts of LangChain through a simple Hello World example. As you progress, you'll delve into various LangChain modules, learning how to create agents, manage memory, and utilize output parsers effectively. The journey continues as you explore the RAG Framework, vector databases, and their applications in natural language processing, providing you with the tools to tackle common NLP problems efficiently. The book also addresses critical aspects of working with large language models (LLMs), such as prompt engineering, handling hallucinations, and evaluating model outputs. Advanced topics like autonomous AI agents and the integration of LangSmith and LangServe are covered, giving you a holistic view of what you can achieve with LangChain. By the end of this book, you will not only understand the technical aspects of LangChain but also how to apply these principles in real-world scenarios, making it an essential resource for anyone looking to advance their capabilities in AI and language processing.What you will learn Navigate the basic to advanced features of LangChain Build and manage language understanding models and applications Employ advanced prompt engineering techniques Implement and evaluate large language models effectively Develop autonomous AI agents with LangChain Integrate LangSmith and LangServe for enhanced functionality Who this book is for The book LangChain in your Pocket: Beginner's Guide to Building Generative AI Applications using LLMs is an excellent resource for individuals new to the world of Generative AI. Whether you are a software developer, data scientist, or student, this beginner-friendly book provides a comprehensive introduction to the LangChain framework and its practical applications. Regardless of your prior experience, this book is a valuable asset for anyone interested in diving into the world of Generative AI and leveraging the power of LangChain. |
| computer science linkedin background: Health Informatics: Practical Guide Seventh Edition William R. Hersh, Robert E. Hoyt, 2018 Health informatics is the discipline concerned with the management of healthcare data and information through the application of computers and other information technologies. The field focuses more on identifying and applying information in the healthcare field and less on the technology involved. Our goal is to stimulate and educate healthcare and IT professionals and students about the key topics in this rapidly changing field. This seventh edition reflects the current knowledge in the topics listed below and provides learning objectives, key points, case studies and extensive references. Available as a paperback and eBook. Visit the textbook companion website at http://informaticseducation.org for more information.--Page 4 de la couverture. |
| computer science linkedin background: Proceedings of Third International Conference on Computing, Communications, and Cyber-Security Pradeep Kumar Singh, Sławomir T. Wierzchoń, Sudeep Tanwar, Joel J. P. C. Rodrigues, Maria Ganzha, 2022-07-02 This book features selected research papers presented at the Third International Conference on Computing, Communications, and Cyber-Security (IC4S 2021), organized in Krishna Engineering College (KEC), Ghaziabad, India, along with Academic Associates; Southern Federal University, Russia; IAC Educational, India; and ITS Mohan Nagar, Ghaziabad, India, during October 30–31, 2021. It includes innovative work from researchers, leading innovators, and professionals in the area of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues. |
| computer science linkedin background: Computing the News Sylvain Parasie, 2022-10-11 Faced with a full-blown crisis, a growing number of journalists are engaging in seemingly unjournalistic practices such as creating and maintaining databases, handling algorithms, or designing online applications. “Data journalists” claim that these approaches help the profession demonstrate greater objectivity and fulfill its democratic mission. In their view, computational methods enable journalists to better inform their readers, more closely monitor those in power, and offer deeper analysis. In Computing the News, Sylvain Parasie examines how data journalists and news organizations have navigated the tensions between traditional journalistic values and new technologies. He traces the history of journalistic hopes for computing technology and contextualizes the surge of data journalism in the twenty-first century. By importing computational techniques and ways of knowing new to journalism, news organizations have come to depend on a broader array of human and nonhuman actors. Parasie draws on extensive fieldwork in the United States and France, including interviews with journalists and data scientists as well as a behind-the-scenes look at several acclaimed projects in both countries. Ultimately, he argues, fulfilling the promise of data journalism requires the renewal of journalistic standards and ethics. Offering an in-depth analysis of how computing has become part of the daily practices of journalists, this book proposes ways for journalism to evolve in order to serve democratic societies. |
| computer science linkedin background: OECD Skills Studies Building a Skilled Cyber Security Workforce in Europe Insights from France, Germany and Poland OECD, 2024-02-06 This report delves into the demand for cyber security expertise by analysing online job postings in France, Germany and Poland in between 2018 and 2023. It examines trends in the demand for cyber security professionals, the geographical distribution of job opportunities, and the changing skill requirements in this field. |
| computer science linkedin background: Careers in Focus: Computer and Video Game Design, Third Edition James Chambers, 2022-06-01 Ferguson's Careers in Focus books are a valuable career exploration tool for libraries and career centers. Written in an easy-to-understand yet informative style, this series surveys a wide array of commonly held jobs and is arranged into volumes organized by specific industries and interests. Each of these informative books is loaded with up-to-date career information presented in a featured industry article and a selection of detailed professions articles. The information here has been researched, vetted, and analyzed by Ferguson's editors, drawing from government and industry sources, professional groups, news reports, career and job-search resources, and a variety of other sources. For readers making career choices, these books offer a wealth of helpful information and resources. |
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