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
Introduction to Scientific Programming with Python - Joakim Sundnes
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Python Machine Learning - Sebastian Raschka
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning with Hadoop - Dipayan Dev
Neural Networks and Deep Learning - Charu C.Aggarwal
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Java Deep Learning Essentials - Yusuke Sugomori
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Pattern recognition and machine learning - Christopher M.Bishop
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Python Machine Learning Eqution Reference - Sebastian Raschka
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Coding Theory - Algorithms, Architectures and Application
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Introduction to Deep Learning - Eugene Charniak
Deep Learning in Python - LazyProgrammer
Fundamentals of Deep Learning - Nikhil Bubuma
Machine Learning with Python for everyone - Mark E.Fenner
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
An introduction to neural networks - Kevin Gurney & University of Sheffield
Introduction to the Math of Neural Networks - Jeff Heaton
Deep Learning with Python - Francois Cholletf
Deep Learning with Keras - Antonio Gulli & Sujit Pal