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
R Deep Learning Essentials - Dr. Joshua F.Wiley
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Pattern recognition and machine learning - Christopher M.Bishop
Amazon Machine Learning Developer Guild Version Latest
Neural Networks and Deep Learning - Charu C.Aggarwal
Deep Learning in Python - LazyProgrammer
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Python Data Structures and Algorithms - Benjamin Baka
Deep Learning with PyTorch - Vishnu Subramanian
Fundamentals of Deep Learning - Nikhil Bubuma
An introduction to neural networks - Kevin Gurney & University of Sheffield
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Python Deep Learning Cookbook - Indra den Bakker
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Artificial Intelligence by example - Denis Rothman
Coding Theory - Algorithms, Architectures and Application
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning with Python - Francois Cholletf
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Deep Learning and Neural Networks - Jeff Heaton
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Java Deep Learning Essentials - Yusuke Sugomori
Python Artificial Intelligence Project for Beginners - Joshua Eckroth