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
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Introduction to Scientific Programming with Python - Joakim Sundnes
Introduction to the Math of Neural Networks - Jeff Heaton
Deep Learning with Python - Francois Cholletf
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Intelligent Projects Using Python - Santanu Pattanayak
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Python Machine Learning Eqution Reference - Sebastian Raschka
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Neural Networks and Deep Learning - Charu C.Aggarwal
Deep Learning with PyTorch - Vishnu Subramanian
Artificial Intelligence by example - Denis Rothman
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Deep Learning and Neural Networks - Jeff Heaton
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...