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
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Deep Learning and Neural Networks - Jeff Heaton
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Artificial Intelligence by example - Denis Rothman
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Python Machine Learning Eqution Reference - Sebastian Raschka
Machine Learning with Python for everyone - Mark E.Fenner
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Python Data Structures and Algorithms - Benjamin Baka
Deep Learning in Python - LazyProgrammer
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning with Theano - Christopher Bourez
Coding Theory - Algorithms, Architectures and Application
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Neural Networks - A visual introduction for beginners - Michael Taylor
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Introduction to the Math of Neural Networks - Jeff Heaton
Introduction to Scientific Programming with Python - Joakim Sundnes
The hundred-page Machine Learning Book - Andriy Burkov
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Medical Image Segmentation Using Artificial Neural Networks