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
Machine Learning with spark and python - Michael Bowles
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning and Neural Networks - Jeff Heaton
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Python Deep Learning Cookbook - Indra den Bakker
Machine Learning with Python for everyone - Mark E.Fenner
Learn Keras for Deep Neural Networks - Jojo Moolayil
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Fundamentals of Deep Learning - Nikhil Bubuma
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Deep Learning in Python - LazyProgrammer
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Deep Learning with Python - Francois Chollet
Introduction to Scientific Programming with Python - Joakim Sundnes
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Python Data Structures and Algorithms - Benjamin Baka
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Amazon Machine Learning Developer Guild Version Latest
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning with Theano - Christopher Bourez
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning with Hadoop - Dipayan Dev