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.
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Java Deep Learning Essentials - Yusuke Sugomori
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
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Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Python Machine Learning Eqution Reference - Sebastian Raschka
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Intelligent Projects Using Python - Santanu Pattanayak
Python Machine Learning - Sebastian Raschka
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Coding Theory - Algorithms, Architectures and Application
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Machine Learning with Python for everyone - Mark E.Fenner
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Fundamentals of Deep Learning - Nikhil Bubuma
Deep Learning for Natural Language Processing - Jason Brownlee
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning in Python - LazyProgrammer
Introduction to the Math of Neural Networks - Jeff Heaton
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
R Deep Learning Essentials - Dr. Joshua F.Wiley
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Python Deep Learning Cookbook - Indra den Bakker
Introduction to Deep Learning - Eugene Charniak
Learn Keras for Deep Neural Networks - Jojo Moolayil
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman