Artificial Intelligence Books to Read in 2019

1. Artificial Intelligence Books to Read in 2019 Artificial Intelligence Books to Read in 2019 Artificial Intelligence can be defined as the ability of machines to imitate human behavior and has come a long way – from nightmares and mad dreams to self-driving cars and automated factories.

2. This tops the list of artificial intelligence books because this book allows you to explore new spheres and develop a deeper understanding of the whole concept so that you know what’s coming next. This classic provides a perfect introduction to the science of reasoning processes in computers based on more than twenty years of research. Introduction to Artificial Intelligence Machine learning, industrial automation, software techniques, automatic programming, psychological stimulation, predicate-calculus theorem are just some of the subjects that have been made easier to understand because of clear illustrations and diagrams.

3. Are you an experienced engineer who wants to gain serious knowledge about Deep learning? This one’s for you. This book is one of the best artificial intelligence books when it comes to coding as it assists you to start coding with all frameworks. Deep Learning This book addresses subjects like hidden layers, generative models, and convulsion making it easier to understand and get going faster. Author: Aaron Courville, Yoshua Bengio and Ian Goodfellow

4. With clear theme explanations, learning from example, quantification of uncertainty perception and communication this book perfectly concludes with a discussion of age-old foundations of artificial intelligence as well as an in-depth examination for what’s in store for us. How to Create a Mind: The Secret of Human Thought Revealed This book is ideal for all individuals who are passionate about advanced machine learning and the correlation between humanity and intelligent machines. Author: Ray Kurzweil

5. Today, reinforcement learning is perhaps one of the hottest topics in the field of artificial intelligence. The book has cleverly been divided into three sections – first dedicated to an understanding of the Markov decision process, second dedicated to basic solutions like Monte Carlo methods, dynamic programming, etc. and third dedicated to providing a unified view of solution methodology. It covers all topics from eligibility traces to artificial neural networks. Reinforcement Learning: An Introduction All in all, this book does a fantastic job when it comes to covering the latest applications and developments of reinforcement learning as well as its conceptual foundations. Author: Andrew G. Barto and Richard S. Sutton

6. This book provides a rich and detailed history of artificial intelligence and robotics. It makes it to our artificial intelligence books to-read-list because it highlights the interplay of increasing intelligence and automation and it’s impact on human societies. Machines of Loving Grace This book also throws light on the topic of intelligence automation (IA) and tells us why building a human element in technology is necessary. Author: John Markoff

7. Artificial Intelligence and Machine Learning are products of both science and myth. The idea that machines could think and perform tasks just as humans do is thousands of years old. ... But the potential of AI and machine intelligence for good does not lie exclusively, or even primarily, within its technologies . Conclusion of Artificial Intelligence FOR MORE:- VISIT Technology Moon