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
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning with Theano - Christopher Bourez
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Introduction to the Math of Neural Networks - Jeff Heaton
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Neural Networks and Deep Learning - Charu C.Aggarwal
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning with Hadoop - Dipayan Dev
Introduction to Deep Learning - Eugene Charniak
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Amazon Machine Learning Developer Guild Version Latest
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Coding Theory - Algorithms, Architectures and Application
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
R Deep Learning Essentials - Dr. Joshua F.Wiley
Intelligent Projects Using Python - Santanu Pattanayak
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning in Python - LazyProgrammer
Deep Learning with PyTorch - Vishnu Subramanian
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...