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
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Python Data Structures and Algorithms - Benjamin Baka
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Artificial Intelligence by example - Denis Rothman
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Python Machine Learning - Sebastian Raschka
Neural Networks and Deep Learning - Charu C.Aggarwal
An introduction to neural networks - Kevin Gurney & University of Sheffield
Python Machine Learning Eqution Reference - Sebastian Raschka
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Deep Learning with Hadoop - Dipayan Dev
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning for Natural Language Processing - Jason Brownlee
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
The hundred-page Machine Learning Book - Andriy Burkov
Pattern recognition and machine learning - Christopher M.Bishop