Dr. Eric Topol, physician and writer, explains how advances in artificial intelligence will help patients have more control over their health.
Practical Natural Language Processing provides in-depth coverage of NLP with Python machine learning libraries and beyond.
Rebooting AI by Gary Marcus and Ernest Davis is a refreshing read on the limits and capabilities of artificial intelligence.
Prediction Machines provides an intuitive and much-needed intro to the artificial intelligence economy and the business value of machine learning.
In "Architects of Intelligence: The Truth about AI from the People Building it," Martin Ford answers many questions about artificial intelligence, and leaves us with many more.
As you already know the earbuds industry is growing rapidly and providing us users a variety of options against the popular yet awfully expensive Apple AirPods and Samsung...
The Book of Why, written by Judea Pearl, explores why our artificial intelligence can perform complicated tasks by can't answer simple questions.
In The Big Nine, Amy Webb discusses the consequences of not fixing the broken state of artificial intelligence.
In "Artificial Intelligence: A Guide for Thinking Humans," computer scientist Melanie Mitchell lays out the good, bad and ugly of AI, deep learning and neural networks.
Machine Learning Algorithms, Second Edition, by Giuseppe Bonaccorso, is a good complement for those who have a solid knowledge of Python machine learning.