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 - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Artificial Intelligence by example - Denis Rothman
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Data Science and Big Data Analytics - EMC Education Services
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Pattern recognition and machine learning - Christopher M.Bishop
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Machine Learning with spark and python - Michael Bowles
Machine Learning with Python for everyone - Mark E.Fenner
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Learn Keras for Deep Neural Networks - Jojo Moolayil
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Python Data Structures and Algorithms - Benjamin Baka
Python Deep Learning Cookbook - Indra den Bakker
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning with Python - Francois Chollet
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Python Machine Learning - Sebastian Raschka
Deep Learning and Neural Networks - Jeff Heaton
Deep Learning with Hadoop - Dipayan Dev
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Python Machine Learning Eqution Reference - Sebastian Raschka
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili