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.
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.
The Book of Why, written by Judea Pearl, explores why our artificial intelligence can perform complicated tasks by can't answer simple questions.
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.
We reviewed three books that provide a solid introduction to data science and machine learning.
In his latest book, Arthur i. Miller delves into the fascinating world of artificial intelligence algorithms that are changing human creativity.
As artificial intelligence continues to bring tremendous change to human life and work, we need a new education system that can adapt to lifelong learning.
"Python for Data Analysis" and "Practical Statistics for Data Scientists" are two must-reads for anyone leaning data science and machine learning.
By Paul McNeil
As mobile phones are advancing more and more these days, so is the industry of ear buds and head phones. These phones also demand our attention, while the world around us becoming more...