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
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning with Python - Francois Cholletf
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Deep Learning with Python - Francois Chollet
Neural Networks and Deep Learning - Charu C.Aggarwal
Machine Learning with spark and python - Michael Bowles
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
R Deep Learning Essentials - Dr. Joshua F.Wiley
Data Science and Big Data Analytics - EMC Education Services
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Learn Keras for Deep Neural Networks - Jojo Moolayil
Introduction to Scientific Programming with Python - Joakim Sundnes
Deep Learning with PyTorch - Vishnu Subramanian
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
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Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Introduction to Deep Learning - Eugene Charniak
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Intelligent Projects Using Python - Santanu Pattanayak
Fundamentals of Deep Learning - Nikhil Bubuma
Deep Learning with Keras - Antonio Gulli & Sujit Pal