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 Machine Learning - Sebastian Raschka
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Python Machine Learning Eqution Reference - Sebastian Raschka
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Neural Networks and Deep Learning - Charu C.Aggarwal
Python Deep Learning Cookbook - Indra den Bakker
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
An introduction to neural networks - Kevin Gurney & University of Sheffield
Introduction to Scientific Programming with Python - Joakim Sundnes
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
The hundred-page Machine Learning Book - Andriy Burkov
Artificial Intelligence by example - Denis Rothman
Java Deep Learning Essentials - Yusuke Sugomori
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Deep Learning with Python - Francois Chollet
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Deep Learning and Neural Networks - Jeff Heaton
Medical Image Segmentation Using Artificial Neural Networks
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants