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
Pattern recognition and machine learning - Christopher M.Bishop
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Python Deep Learning Cookbook - Indra den Bakker
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Introduction to Deep Learning - Eugene Charniak
Fundamentals of Deep Learning - Nikhil Bubuma
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning in Python - LazyProgrammer
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Neural Networks - A visual introduction for beginners - Michael Taylor
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Artificial Intelligence by example - Denis Rothman
The hundred-page Machine Learning Book - Andriy Burkov
R Deep Learning Essentials - Dr. Joshua F.Wiley
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Deep Learning with Python - Francois Chollet
Coding Theory - Algorithms, Architectures and Application
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning with Theano - Christopher Bourez
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning and Neural Networks - Jeff Heaton
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Deep Learning with Python - Francois Cholletf
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
