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.
Deep Learning with PyTorch - Vishnu Subramanian
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Introduction to Scientific Programming with Python - Joakim Sundnes
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Amazon Machine Learning Developer Guild Version Latest
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Java Deep Learning Essentials - Yusuke Sugomori
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning with Python - Francois Cholletf
Data Science and Big Data Analytics - EMC Education Services
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Intelligent Projects Using Python - Santanu Pattanayak
Python Deep Learning Cookbook - Indra den Bakker
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Machine Learning with spark and python - Michael Bowles
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
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Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
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