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 for Natural Language Processing - Jason Brownlee
Introduction to Deep Learning - Eugene Charniak
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Learn Keras for Deep Neural Networks - Jojo Moolayil
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Pattern recognition and machine learning - Christopher M.Bishop
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Deep Learning with PyTorch - Vishnu Subramanian
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Machine Learning with Python for everyone - Mark E.Fenner
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Introduction to the Math of Neural Networks - Jeff Heaton
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Fundamentals of Deep Learning - Nikhil Bubuma
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Data Science and Big Data Analytics - EMC Education Services
Python Machine Learning - Sebastian Raschka
Deep Learning with Hadoop - Dipayan Dev
Neural Networks - A visual introduction for beginners - Michael Taylor
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Medical Image Segmentation Using Artificial Neural Networks
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
