Learn Computer Science

Learn Computer Science On the Go is an audiobook meticulously crafted for anyone interested in the vast world of computer science. This comprehensive guide is tailored to cater to a wide audience, from beginners to those looking to refresh their knowledge. The audiobook begins by laying a solid foundation, introducing listeners to fundamental concepts and terminologies in an easily digestible format. It then progresses into the intricacies of programming languages, offering insights into their varied applications and nuances.

This book consists of 6 titles, namely: Assembly Language: The Ultimate Guide to Programming and Virtual Machines. Computer Science: The Complete Guide to Principles and Informatics. Cyber Security: Beginners’ Guide to Hacking, Phishing, Social Engineering, and Malware. Databases: System Concepts, Designs, Management, and Implementation. Operating Systems: Concepts to Save Money, Time, and Frustration. Website Development: Web Design Skills for Beginners

5th Edition - New for 2024 A great intro to Computer Science concepts for all ages. Perfect for: AP Computer Science Principles (AP-CSP) Teacher Certification Tests (PRAXIS, GACE, etc.) Integrated Digital Technology CS Foundations Exploring Computer Science Curious kids and adults Everyone!--- The 5th edition comes with several updates, including: Computing Systems Deeper dive into CPU/GPU More on logic gate Other updates And more!--- Computer science is the world's fastest growing field of study, and this growth is showing no signs of slowing down. As a new field, computer science can seem...

In this audiobook, you'll get a clear overview of artificial intelligence technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field.

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

Let's take stock of young America. Compared to previous generations, American youth have more schooling (college enrollments have never been higher); more money ($100 a week in disposable income); more leisure time (five hours a day); and more news and information (Internet, The Daily Show, RSS feeds). What do they do with all that time and money? They download, upload, IM, post, chat, and network. (Nine of their top ten sites are for social networking.) They watch television and play video games (2 to 4 hours per day).

Unlock the power of technology with this comprehensive 2-in-1 book bundle designed to take your skills from beginner to pro. Whether you're an aspiring coder, tech enthusiast, or someone looking to break into the lucrative world of IT, this guide has everything you need.

In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.

After billions of dollars and 50 years of effort, researchers are finally cracking the code on artificial intelligence. As society stands on the cusp of unprecedented change, Jerry Kaplan unpacks the latest advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities. Driverless cars, robotic helpers, and intelligent agents that promote our interests have the potential to usher in a new age of affluence and leisure.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

Leaders already know that the classic approach to strategy - analyze, plan, execute - is losing relevance. But they don't yet know what replaces it. As everyone and everything becomes more interconnected and digitized, how do you operate, compete, and win? Ming Zeng, the former chief of staff and strategy adviser to Alibaba Group's founder, Jack Ma, explains how the latest technological developments, such as artificial intelligence, machine learning, the mobile internet, and cloud computing, are redefining how value is created.

Written in an accessible style for all audiences, “How AI Will Shape Our Future” anchors listeners in the history and evolution of Artificial Intelligence, laying the groundwork for a deeper understanding of its trajectory. This equips listeners to engage more thoughtfully with the book’s central theme: What should societies expect from AI in the decades ahead? How does AI actually function? What will its impact be on employment and education, both short-term and long-term? How will AI reshape society, the economy, government, culture, and geopolitics?

This book will teach and guide you though steps like saving files and understanding F1 - F12 keys. It's a great book to help start you out with your basic computer needs.

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.

You don't have to be a computer scientist to have discerning conversations about artificial intelligence and technology. We all wonder where we're headed. Even now, technological innovations and machine learning have a daily impact on our lives, and many of us see good reasons to dread the future. Are we doomed to the surveillance society imagined in George Orwell's 1984? Mathematician and philosopher John Lennox believes that there are credible responses to the daunting questions that AI poses.

Newly updated for 2024! Want to learn how to code in less than a day? This book was designed for absolute beginners – you don’t need any prior experience or knowledge. Written by the Co-Founders of The Tech Academy (www.learncodinganywhere.com), it serves as a perfect introduction to computer programming for anyone. This book utilizes Python, one of the most popular programming languages in the world. Learn Coding Basics in Hours with Python is easy and simple, and it can be completed fast. The Tech Academy is a technology school that specializes in coding bootcamps. You can enroll ...

Need networking know-how, but don't know where to turn? Run-don't walk-to the no-nonsense networking guidance offered in this friendly guide! Whether you're a networking administrator or an everyday computer user looking to set up a network in your home or office, Networking for Dummies, seamlessly gets you connected with the basics and gives you the knowledge to work out whatever kinks may come your way-in no time.

This book offers an overview of computer science from a perspective that is accessible to those without an extensive technical background. While the field of computer science encompasses a vast array of complex topics and applications, this work endeavors to present these concepts in a clear and approachable manner. Through the exploration of various aspects of computer science, readers will gain a foundational understanding of this rapidly-evolving field, even in the absence of prior experience or technical expertise. This literary work is not intended to serve as a technical reference or ...

This book attempts to teach Swift Programming, from Novice to Expert. Topics covered include: • Swift • Frameworks and APIs • Data Structures and Algorithms • Mathematics • Data Science and Machine Learning • IO and Databases • Cryptography and Hacking • Networking • Fast-running Code • Blockchain • .... And more