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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Neural Networks - A visual introduction for beginners - Michael Taylor
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Neural Networks and Deep Learning - Charu C.Aggarwal
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Deep Learning with PyTorch - Vishnu Subramanian
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Machine Learning with Python for everyone - Mark E.Fenner
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Deep Learning with Python - Francois Chollet
Amazon Machine Learning Developer Guild Version Latest
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Introduction to the Math of Neural Networks - Jeff Heaton
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
The hundred-page Machine Learning Book - Andriy Burkov
Coding Theory - Algorithms, Architectures and Application
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Python Data Structures and Algorithms - Benjamin Baka
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Introduction to Deep Learning - Eugene Charniak
Deep Learning in Python - LazyProgrammer
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Java Deep Learning Essentials - Yusuke Sugomori
R Deep Learning Essentials - Dr. Joshua F.Wiley
Deep Learning and Neural Networks - Jeff Heaton
Python Machine Learning Eqution Reference - Sebastian Raschka
Deep Learning with Hadoop - Dipayan Dev
Introduction to Scientific Programming with Python - Joakim Sundnes