Did you know that artificial intelligence (AI) is changing our world faster than we can imagine? Try to envision all the mind-boggling benefits of a world where AI can help us to enjoy almost every area of our lives. This world will be a reality in the very near future, but along with the benefits will come new challenges as well. AI will impact every area of our lives, in some ways that we can’t even predict, whether we like it or not. Would you like to know more about this fascinating technology? In this non-technical guidebook, you will discover the many ways in which AI is already changing our world, and how you can adjust to these changes. You will also learn practical methods you can use to apply AI in your own personal and professional life. Artificial intelligence will help us to do almost everything better, faster and cheaper, but it will also bring about some considerable challenges that we need to start preparing for now. One common misconception is that only big technology companies can work with and benefit from AI. In this book you will discover several creative ways in which you can do the same.
Artificial Intelligence – 101 things you must know today about our future – Lasse Rouhiainen
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
The hundred-page Machine Learning Book - Andriy Burkov
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Deep Learning with Theano - Christopher Bourez
Fundamentals of Deep Learning - Nikhil Bubuma
Deep Learning with Python - Francois Cholletf
Deep Learning with Hadoop - Dipayan Dev
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Coding Theory - Algorithms, Architectures and Application
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Deep Learning for Natural Language Processing - Jason Brownlee
Data Science and Big Data Analytics - EMC Education Services
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Python Machine Learning Eqution Reference - Sebastian Raschka
Amazon Machine Learning Developer Guild Version Latest
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning and Neural Networks - Jeff Heaton
Pattern recognition and machine learning - Christopher M.Bishop
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants