Prediction Machines provides an intuitive and much-needed intro to the artificial intelligence economy and the business value of machine learning.
In our world, there are now dozens upon dozens of smartwatches to choose from. The two major brand names that literally are placed in a league of their...
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...
Artificial intelligence algorithms can perform well-represented tasks, but they can't discover and solve unknown and undiscovered problems.
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.
Applied machine learning, or applying artificial intelligence to practical applications, poses serious challenges. The book "Real World AI" explores these challenges in depth.
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.