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
Amazon Machine Learning Developer Guild Version Latest
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
An introduction to neural networks - Kevin Gurney & University of Sheffield
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Introduction to Scientific Programming with Python - Joakim Sundnes
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning with Theano - Christopher Bourez
Pattern recognition and machine learning - Christopher M.Bishop
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Introduction to Deep Learning - Eugene Charniak
Neural Networks and Deep Learning - Charu C.Aggarwal
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Python Machine Learning - Sebastian Raschka
Deep Learning with Hadoop - Dipayan Dev
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Machine Learning with spark and python - Michael Bowles
Python Deep Learning Cookbook - Indra den Bakker
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Coding Theory - Algorithms, Architectures and Application
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Java Deep Learning Essentials - Yusuke Sugomori