June 2018
Intermediate to advanced
378 pages
8h 43m
English
ML is a subfield of Artificial Intelligence (AI), a topic of computer science born in the 1950s with the goal of trying to get computers to think or provide a level of automated intelligence similar to that of us humans.
Early success in AI was achieved by using an extensive set of defined rules, known as symbolic AI, allowing expert decision making to be mimicked by computers. This approach worked well for many domains but had a big shortfall in that in order to create an expert, you needed one. Not only this, but also their expertise needed to be digitized somehow, which normally required explicit programming.
ML provides an alternative; instead of having to handcraft rules, it learns from examples and experience. ...