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
Pattern recognition and machine learning - Christopher M.Bishop
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Coding Theory - Algorithms, Architectures and Application
Neural Networks and Deep Learning - Charu C.Aggarwal
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Machine Learning with spark and python - Michael Bowles
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Python Data Structures and Algorithms - Benjamin Baka
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
The hundred-page Machine Learning Book - Andriy Burkov
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning with Python - Francois Cholletf
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Introduction to Deep Learning - Eugene Charniak
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Introduction to Scientific Programming with Python - Joakim Sundnes
Deep Learning for Natural Language Processing - Jason Brownlee
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David