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 Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Learn Keras for Deep Neural Networks - Jojo Moolayil
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Python Machine Learning - Sebastian Raschka
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Deep Learning for Natural Language Processing - Jason Brownlee
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Coding Theory - Algorithms, Architectures and Application
Python Data Structures and Algorithms - Benjamin Baka
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Deep Learning in Python - LazyProgrammer
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Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning with Theano - Christopher Bourez
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Pattern recognition and machine learning - Christopher M.Bishop
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Medical Image Segmentation Using Artificial Neural Networks
Deep Learning and Neural Networks - Jeff Heaton
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Neural Networks - A visual introduction for beginners - Michael Taylor
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Python Deep Learning Cookbook - Indra den Bakker
Introduction to Scientific Programming with Python - Joakim Sundnes
Grokking Deep Learning - MEAP v10 - Andrew W.Trask