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
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Introduction to Deep Learning - Eugene Charniak
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning with Python - Francois Chollet
Deep Learning with PyTorch - Vishnu Subramanian
Machine Learning with spark and python - Michael Bowles
Pattern recognition and machine learning - Christopher M.Bishop
Artificial Intelligence by example - Denis Rothman
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Deep Learning and Neural Networks - Jeff Heaton
Python Machine Learning - Sebastian Raschka
R Deep Learning Essentials - Dr. Joshua F.Wiley
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Coding Theory - Algorithms, Architectures and Application
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning with Hadoop - Dipayan Dev
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Python Data Structures and Algorithms - Benjamin Baka