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
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Neural Networks and Deep Learning - Charu C.Aggarwal
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Amazon Machine Learning Developer Guild Version Latest
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Java Deep Learning Essentials - Yusuke Sugomori
Introduction to Deep Learning - Eugene Charniak
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Python Deep Learning Cookbook - Indra den Bakker
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Deep Learning and Neural Networks - Jeff Heaton
Deep Learning with Python - Francois Cholletf
Neural Networks - A visual introduction for beginners - Michael Taylor
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Coding Theory - Algorithms, Architectures and Application
Deep Learning with PyTorch - Vishnu Subramanian
Medical Image Segmentation Using Artificial Neural Networks
Pattern recognition and machine learning - Christopher M.Bishop
An introduction to neural networks - Kevin Gurney & University of Sheffield
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning for Natural Language Processing - Jason Brownlee
Machine Learning with spark and python - Michael Bowles
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Intelligent Projects Using Python - Santanu Pattanayak