Metrics - Ep. 23 (Deep Learning SIMPLIFIED)

Data scientists use a variety of metrics in order to objectively determine the performance of a model. This clip will provide an overview of some of the most common metrics such as error, precision, and recall.

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URL for article on metrics (this Wikipedia article is actually very informative) -
https://en.wikipedia.org/wiki/Precision_and_recall

Credits
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelan....cers/~0147b8991909b2
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Marek Scibior (Prezi creator, Illustrator) -
http://brawuroweprezentacje.pl/
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal