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Home > Data Science at Home > Episode 45: why do machine learning models fail?
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.
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