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DeepLearning.TV's video: Metrics - Ep 23 Deep Learning SIMPLIFIED

@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. Deep Learning TV on Facebook: https://www.facebook.com/DeepLearningTV/ Twitter: https://twitter.com/deeplearningtv 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/freelancers/~0147b8991909b20fca 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

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This video was published on 2016-07-06 00:28:00 GMT by @DeepLearning.TV on Youtube. DeepLearning.TV has total 81.1K subscribers on Youtube and has a total of 31 video.This video has received 323 Likes which are lower than the average likes that DeepLearning.TV gets . @DeepLearning.TV receives an average views of 128K per video on Youtube.This video has received 9 comments which are lower than the average comments that DeepLearning.TV gets . Overall the views for this video was lower than the average for the profile.

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