Artificial Intelligence Machine Learning

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.

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.

Unlock the power of AI and Machine Learning with this comprehensive guide. Whether you're a beginner or an experienced practitioner, this book provides a step-by-step journey through the world of AI and ML. Explore the key concepts, algorithms, and techniques that drive intelligent systems, and discover how to apply them to solve real-world problems. From understanding the basics of AI and ML to diving deep into advanced topics like deep learning and reinforcement learning, this book covers it all. Gain hands-on experience with popular ML frameworks and tools, and learn how to preprocess ...

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.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

Every day, artificial intelligence is transforming the way we live, work, and interact. From the voice in your smartphone to the algorithms behind your favorite streaming service, AI isn’t just the future—it’s your present. If you’re not keeping up, you’re already falling behind. This audiobook will help you stay ahead, understand what’s happening, and make sense of how AI impacts your life, career, and world.

Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.

Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be. Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence and what it would take to get there.

It is time for you to start learning what machine learning and artificial intelligence are all about. Learn about neural networks, Python and machine learning, examples of machine learning, how machine learning is beneficial to you, cognitive NLP chatbots, cognitive NLP algorithms, and more.

Machine learning is changing the world. You use machine learning every day and probably don’t know it. In this audiobook, you will learn how ML grew from a desire to make computers able to learn.

Chatbots such as the infamous ChatGPT, robotic warehouses, computerized call centres and patient diagnosis. These are just a few of the areas where Artificial Intelligence (AI) and Machine Learning are being used to boost revenues, cut costs, save lives and improve customer experiences. As a result, organizations that understand these tools and know how to use them are benefiting at the expense of their rivals. This book cuts through the hype and technical jargon that one often finds when talking about AI and Machine Learning. It delivers a short, concise and non-technical guide for ...

Whether you’re an artist, a technologist, or simply curious about the future of creativity, this audiobook offers a comprehensive and accessible exploration of how AI is transforming the arts. Packed with insights, examples, and forward-thinking perspectives, it’s a must-listen for anyone looking to stay ahead in an age where algorithms meet imagination.

Artificial Intelligence for Dummies is the ideal starting point for anyone seeking a deeper technological understanding of how artificial intelligence works and what promise it holds for the future.

Drawing upon the author's wealth of experience, Artificial Intelligence: A 60 Minute Guide provides a concise, yet comprehensive, introduction to this fascinating subject in an exciting and jargon-free way. Steven Finlay has published several books about artificial intelligence and related subjects. He is currently head of Analytics at Computershare Loan Services and is an Honorary Research Fellow at the Lancaster University Management School in the UK.

This audiobook will help you get ready for the changes coming in the years ahead. Listen now. Packed with expert insights, the book addresses critical questions: How will AI alter employment, education, and global geopolitics? What ethical dilemmas will arise as humans interlace with AI through cyborgs and synthetic biology? Can we prepare for superintelligence and its utopian—or dystopian—outcomes?

From Oxford's leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: artificial intelligence.

See into the future of artificial intelligence And how it impacts YOU. What will happen when computers can think like humans, when they become smarter than us? Is life going to become easier? Will they take our jobs? Will they be out of our control? We already use AI machines in our daily lives: They’re in our phones, our cars, and our social media accounts. Buy “Artificial Intelligence: The Future of Machine Learning, Deep Learning, Neural Networks and Computer Superintelligence” to learn: What is artificial intelligence? How does artificial intelligence work? How machine learning ...

Artificial intelligence is no longer a tool we control—it’s a force quietly taking control of us. From influencing your thoughts and decisions to redefining humanity itself, AI’s dark side is more pervasive and dangerous than you’ve been led to believe. This book pulls back the curtain on the hidden threats and ethical dilemmas of the AI revolution—and reveals why you can’t afford to ignore them.

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

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.