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
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Python Machine Learning - Sebastian Raschka
Pattern recognition and machine learning - Christopher M.Bishop
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Deep Learning with Python - Francois Chollet
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Machine Learning with Python for everyone - Mark E.Fenner
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Deep Learning in Python - LazyProgrammer
Java Deep Learning Essentials - Yusuke Sugomori
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning for Natural Language Processing - Jason Brownlee
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
An introduction to neural networks - Kevin Gurney & University of Sheffield
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Machine Learning with spark and python - Michael Bowles
Introduction to the Math of Neural Networks - Jeff Heaton
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Deep Learning with Python - Francois Cholletf
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
R Deep Learning Essentials - Dr. Joshua F.Wiley
Data Science and Big Data Analytics - EMC Education Services
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Intelligent Projects Using Python - Santanu Pattanayak
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Coding Theory - Algorithms, Architectures and Application