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
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Introduction to Scientific Programming with Python - Joakim Sundnes
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
An introduction to neural networks - Kevin Gurney & University of Sheffield
Introduction to Deep Learning - Eugene Charniak
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Deep Learning with Python - Francois Chollet
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Medical Image Segmentation Using Artificial Neural Networks
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Python Data Structures and Algorithms - Benjamin Baka
Deep Learning and Neural Networks - Jeff Heaton
Deep Learning with Theano - Christopher Bourez
Machine Learning with spark and python - Michael Bowles
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Intelligent Projects Using Python - Santanu Pattanayak
Deep Learning with PyTorch - Vishnu Subramanian
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Pattern recognition and machine learning - Christopher M.Bishop
Deep Learning for Natural Language Processing - Jason Brownlee
Python Machine Learning - Sebastian Raschka