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
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Deep Learning with Hadoop - Dipayan Dev
Deep Learning and Neural Networks - Jeff Heaton
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
R Deep Learning Essentials - Dr. Joshua F.Wiley
Python Data Structures and Algorithms - Benjamin Baka
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Introduction to Deep Learning - Eugene Charniak
An introduction to neural networks - Kevin Gurney & University of Sheffield
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Python Deep Learning Cookbook - Indra den Bakker
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Neural Networks and Deep Learning - Charu C.Aggarwal
Intelligent Projects Using Python - Santanu Pattanayak
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Java Deep Learning Essentials - Yusuke Sugomori
Artificial Intelligence by example - Denis Rothman
Coding Theory - Algorithms, Architectures and Application
Introduction to the Math of Neural Networks - Jeff Heaton
Deep Learning with Python - Francois Chollet
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster