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
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Learn Keras for Deep Neural Networks - Jojo Moolayil
Machine Learning with Python for everyone - Mark E.Fenner
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Fundamentals of Deep Learning - Nikhil Bubuma
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
The hundred-page Machine Learning Book - Andriy Burkov
Python Machine Learning - Sebastian Raschka
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Neural Networks and Deep Learning - Charu C.Aggarwal
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning with Python - Francois Chollet
Deep Learning in Python - LazyProgrammer
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Machine Learning with spark and python - Michael Bowles
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
