July 2017
Beginner to intermediate
378 pages
10h 26m
English
Ask a hundred experts for the definition of ML, and you are likely to get a hundred slightly different answers. Some will take a broad view and fully include deep learning, artificial intelligence, and some traditional statistical techniques, such as the sum of least squares linear regression. Others will be narrow and restrict their definition to a few modeling techniques, considering it separate from a related field called statistical learning.
Some will say it does not even exist in the real world, only in over-hyped media stories. They feel it is all the same traditional statistical analysis that has been done for decades. Some will consider the term ML as completely interchangeable with the term artificial intelligence, ...