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
Medical Image Segmentation Using Artificial Neural Networks
Artificial Intelligence by example - Denis Rothman
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning with Python - Francois Cholletf
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning and Neural Networks - Jeff Heaton
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Coding Theory - Algorithms, Architectures and Application
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning with Hadoop - Dipayan Dev
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
The hundred-page Machine Learning Book - Andriy Burkov
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Python Machine Learning - Sebastian Raschka
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Neural Networks - A visual introduction for beginners - Michael Taylor
Pattern recognition and machine learning - Christopher M.Bishop
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Python Machine Learning Eqution Reference - Sebastian Raschka
Deep Learning for Natural Language Processing - Jason Brownlee
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj