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
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Python Machine Learning Eqution Reference - Sebastian Raschka
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Introduction to the Math of Neural Networks - Jeff Heaton
Introduction to Scientific Programming with Python - Joakim Sundnes
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Medical Image Segmentation Using Artificial Neural Networks
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Python Machine Learning - Sebastian Raschka
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
The hundred-page Machine Learning Book - Andriy Burkov
Intelligent Projects Using Python - Santanu Pattanayak
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Artificial Intelligence by example - Denis Rothman
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Data Science and Big Data Analytics - EMC Education Services
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Deep Learning with Theano - Christopher Bourez
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Java Deep Learning Essentials - Yusuke Sugomori