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 - A Hands-on Introduction - Nikhil Ketkar
Learn Keras for Deep Neural Networks - Jojo Moolayil
Introduction to Deep Learning - Eugene Charniak
Python Machine Learning - Sebastian Raschka
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning and Neural Networks - Jeff Heaton
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Intelligent Projects Using Python - Santanu Pattanayak
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Introduction to the Math of Neural Networks - Jeff Heaton
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Python Deep Learning Cookbook - Indra den Bakker
Fundamentals of Deep Learning - Nikhil Bubuma
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Deep Learning with Python - Francois Chollet
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Data Science and Big Data Analytics - EMC Education Services
