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
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Machine Learning with Python for everyone - Mark E.Fenner
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Deep Learning with Theano - Christopher Bourez
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Data Science and Big Data Analytics - EMC Education Services
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Medical Image Segmentation Using Artificial Neural Networks
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Introduction to Deep Learning - Eugene Charniak
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Neural Networks and Deep Learning - Charu C.Aggarwal
Python Machine Learning - Sebastian Raschka
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Intelligent Projects Using Python - Santanu Pattanayak
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Deep Learning with Applications Using Python - Navin Kumar Manaswi
An introduction to neural networks - Kevin Gurney & University of Sheffield
Machine Learning with spark and python - Michael Bowles
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning in Python - LazyProgrammer
Pattern recognition and machine learning - Christopher M.Bishop
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda