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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Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Learn Keras for Deep Neural Networks - Jojo Moolayil
Fundamentals of Deep Learning - Nikhil Bubuma
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
An introduction to neural networks - Kevin Gurney & University of Sheffield
Python Machine Learning Eqution Reference - Sebastian Raschka
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning with PyTorch - Vishnu Subramanian
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Python Deep Learning Cookbook - Indra den Bakker
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Amazon Machine Learning Developer Guild Version Latest
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Medical Image Segmentation Using Artificial Neural Networks
Data Science and Big Data Analytics - EMC Education Services
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...