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
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
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Coding Theory - Algorithms, Architectures and Application
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Data Science and Big Data Analytics - EMC Education Services
Python Machine Learning - Sebastian Raschka
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Intelligent Projects Using Python - Santanu Pattanayak
Neural Networks and Deep Learning - Charu C.Aggarwal
Deep Learning with Python - Francois Chollet
Python Machine Learning Eqution Reference - Sebastian Raschka
Deep Learning in Python - LazyProgrammer
Amazon Machine Learning Developer Guild Version Latest
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Deep Learning with Python - Francois Cholletf
Artificial Intelligence by example - Denis Rothman
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Introduction to Deep Learning - Eugene Charniak
Deep Learning and Neural Networks - Jeff Heaton
Neural Networks - A visual introduction for beginners - Michael Taylor
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning for Natural Language Processing - Jason Brownlee
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
