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
Artificial Intelligence by example - Denis Rothman
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Neural Networks and Deep Learning - Charu C.Aggarwal
The hundred-page Machine Learning Book - Andriy Burkov
R Deep Learning Essentials - Dr. Joshua F.Wiley
Deep Learning with Python - Francois Cholletf
Machine Learning with spark and python - Michael Bowles
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Introduction to Deep Learning - Eugene Charniak
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Intelligent Projects Using Python - Santanu Pattanayak
Machine Learning with Python for everyone - Mark E.Fenner
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Pattern recognition and machine learning - Christopher M.Bishop
Coding Theory - Algorithms, Architectures and Application
Deep Learning with Theano - Christopher Bourez