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	Podcast:		Data Science at Home
	Episode:		Episode 45: why do machine learning models fail?
	Category:		Technology
	Duration:		00:16:21
	Publish Date:		2018-08-28 03:02:30
	Description:		The success of a machine learning model depends on several factors and events. True generalization to data that the model has never seen before is more a chimera than a reality. But under specific conditions a well trained machine learning model can generalize well and perform with testing accuracy that is similar to the one performed during training. In this episode I explain when and why machine learning models fail from training to testing datasets.
	Total Play:		1