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 3 for Absolute Beginners - Tim Hall & J.P Stacey
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Deep Learning with Theano - Christopher Bourez
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Neural Networks - A visual introduction for beginners - Michael Taylor
Deep Learning with Python - Francois Chollet
Python Deep Learning Cookbook - Indra den Bakker
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
R Deep Learning Essentials - Dr. Joshua F.Wiley
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Fundamentals of Deep Learning - Nikhil Bubuma
Deep Learning for Natural Language Processing - Jason Brownlee
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Medical Image Segmentation Using Artificial Neural Networks
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Machine Learning with Python for everyone - Mark E.Fenner
Coding Theory - Algorithms, Architectures and Application
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Introduction to the Math of Neural Networks - Jeff Heaton
Machine Learning with spark and python - Michael Bowles
Introduction to Deep Learning - Eugene Charniak
