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
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Python Deep Learning Cookbook - Indra den Bakker
Deep Learning for Natural Language Processing - Jason Brownlee
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Machine Learning with Python for everyone - Mark E.Fenner
Pattern recognition and machine learning - Christopher M.Bishop
Deep Learning with PyTorch - Vishnu Subramanian
Artificial Intelligence by example - Denis Rothman
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Neural Networks and Deep Learning - Charu C.Aggarwal
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Python Machine Learning Eqution Reference - Sebastian Raschka
Deep Learning with Hadoop - Dipayan Dev
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Python Data Structures and Algorithms - Benjamin Baka
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Deep Learning with Theano - Christopher Bourez
Java Deep Learning Essentials - Yusuke Sugomori
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning with Python - Francois Chollet
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad