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.
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Deep Learning with Python - Francois Cholletf
Introduction to Scientific Programming with Python - Joakim Sundnes
Data Science and Big Data Analytics - EMC Education Services
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Deep Learning with Python - Francois Chollet
Learn Keras for Deep Neural Networks - Jojo Moolayil
Artificial Intelligence by example - Denis Rothman
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Fundamentals of Deep Learning - Nikhil Bubuma
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning in Python - LazyProgrammer
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
An introduction to neural networks - Kevin Gurney & University of Sheffield
Amazon Machine Learning Developer Guild Version Latest
Python Machine Learning Eqution Reference - Sebastian Raschka
Introduction to the Math of Neural Networks - Jeff Heaton
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Java Deep Learning Essentials - Yusuke Sugomori
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Intelligent Projects Using Python - Santanu Pattanayak
Python Deep Learning Cookbook - Indra den Bakker