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
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Python Deep Learning Cookbook - Indra den Bakker
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning and Neural Networks - Jeff Heaton
Python Machine Learning Eqution Reference - Sebastian Raschka
An introduction to neural networks - Kevin Gurney & University of Sheffield
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Introduction to the Math of Neural Networks - Jeff Heaton
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Deep Learning with PyTorch - Vishnu Subramanian
Machine Learning with spark and python - Michael Bowles
Amazon Machine Learning Developer Guild Version Latest
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Java Deep Learning Essentials - Yusuke Sugomori
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Deep Learning with Python - Francois Chollet
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf