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
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
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Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
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Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Medical Image Segmentation Using Artificial Neural Networks
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
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Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Pattern recognition and machine learning - Christopher M.Bishop
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Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Intelligent Projects Using Python - Santanu Pattanayak
Coding Theory - Algorithms, Architectures and Application
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Introduction to Deep Learning - Eugene Charniak
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning with Python - Francois Cholletf
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Introduction to Scientific Programming with Python - Joakim Sundnes