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
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Deep Learning with Python - Francois Cholletf
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Pattern recognition and machine learning - Christopher M.Bishop
Neural Networks and Deep Learning - Charu C.Aggarwal
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning in Python - LazyProgrammer
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Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
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Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
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Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Introduction to Deep Learning - Eugene Charniak
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
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