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 - A Probabilistic Perspective - Kevin P.Murphy
Python Data Structures and Algorithms - Benjamin Baka
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
R Deep Learning Essentials - Dr. Joshua F.Wiley
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Deep Learning in Python - LazyProgrammer
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Python Machine Learning - Sebastian Raschka
Deep Learning and Neural Networks - Jeff Heaton
Pattern recognition and machine learning - Christopher M.Bishop
Deep Learning for Natural Language Processing - Jason Brownlee
Deep Learning with Keras - Antonio Gulli & Sujit Pal
An introduction to neural networks - Kevin Gurney & University of Sheffield
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Intelligent Projects Using Python - Santanu Pattanayak
Java Deep Learning Essentials - Yusuke Sugomori
Machine Learning with Python for everyone - Mark E.Fenner
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Python Deep Learning Cookbook - Indra den Bakker
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Artificial Intelligence by example - Denis Rothman
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Python Machine Learning Eqution Reference - Sebastian Raschka
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Medical Image Segmentation Using Artificial Neural Networks