Название: Artificial Intelligence: What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future Автор: Neil Wilkins Издательство: Amazon Digital Services LLC Год: 2019 Страниц: 88 Язык: английский Формат: epub, azw3, pdf (conv) Размер: 10.1 MB
Are you confused about what all the rage behind Artificial Intelligence (AI) is and would like to learn more?
This book covers everything from Machine Learning (ML) to robotics and the Internet of Things (IoT).
You can use it as a nifty guidebook whenever you come across news headlines that talk about some new advancement in AI by Google or Facebook.
By the time you finish reading, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is.
You will also learn a comprehensive history of AI, from the first invention of automations in antiquity to the driver-less cars of today.
Here’s just a tiny fraction of what you’ll discover:
Understand how machines can “think” and how they learn Learn the five reasons why experts are warning us about AI research Find the answers to the top six myths of artificial intelligence Learn what neural networks are and how they work, the “brains” of machine learning Understand reinforcement learning and how it is used to teach machine learning systems through experience Become up-to-date with the current state-of-the-art artificial intelligence methods that use deep learning Learn the basics of recommender systems Expand your current view of machines and what is possible with modern robotics Enter the vast world of the internet of things technologies Find out why AI is the new business degree And much, much more! Contents:
Introduction Chapter 1: Artificial Intelligence, the Big Picture Chapter 2: Artificial Beings, a Brief History of the Human Psyche Chapter 3: The Birth and Death of AI Chapter 4: Five Reasons Why Industry Experts are Warning Us about AI Chapter 5: Top Six AI Myths Chapter 6: Machine Learning Chapter 7: Neural Networks Chapter 8: Reinforcement Learning Chapter 9: Deep Learning Chapter 10: Recommender Systems Chapter 11: Robotics Chapter 12: The Internet of Things Chapter 13: Why AI is the New Business Degree Chapter 14: AI FAQ Conclusion
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