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
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Deep Learning with Hadoop - Dipayan Dev
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Pattern recognition and machine learning - Christopher M.Bishop
Python Machine Learning - Sebastian Raschka
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Learn Keras for Deep Neural Networks - Jojo Moolayil
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Deep Learning with PyTorch - Vishnu Subramanian
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Introduction to Deep Learning - Eugene Charniak
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Deep Learning with Python - Francois Chollet
R Deep Learning Essentials - Dr. Joshua F.Wiley
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Python Deep Learning Cookbook - Indra den Bakker
Introduction to the Math of Neural Networks - Jeff Heaton
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Amazon Machine Learning Developer Guild Version Latest
Artificial Intelligence by example - Denis Rothman