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
Deep Learning with Python - Francois Cholletf
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Python Data Structures and Algorithms - Benjamin Baka
Learn Keras for Deep Neural Networks - Jojo Moolayil
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
R Deep Learning Essentials - Dr. Joshua F.Wiley
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning in Python - LazyProgrammer
Deep Learning with Python - Francois Chollet
The hundred-page Machine Learning Book - Andriy Burkov
Coding Theory - Algorithms, Architectures and Application
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Introduction to Scientific Programming with Python - Joakim Sundnes
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning with PyTorch - Vishnu Subramanian
Introduction to the Math of Neural Networks - Jeff Heaton
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Fundamentals of Deep Learning - Nikhil Bubuma
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Intelligent Projects Using Python - Santanu Pattanayak
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Pattern recognition and machine learning - Christopher M.Bishop