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
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Artificial Intelligence by example - Denis Rothman
Deep Learning and Neural Networks - Jeff Heaton
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Data Science and Big Data Analytics - EMC Education Services
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Python Deep Learning Cookbook - Indra den Bakker
Deep Learning with Python - Francois Chollet
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning in Python - LazyProgrammer
Machine Learning with spark and python - Michael Bowles
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
R Deep Learning Essentials - Dr. Joshua F.Wiley
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Pattern recognition and machine learning - Christopher M.Bishop
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning for Natural Language Processing - Jason Brownlee
Medical Image Segmentation Using Artificial Neural Networks
Introduction to Deep Learning - Eugene Charniak
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David