Episode 52: why do machine learning models fail? [RB]

Data Science at Home

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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.

60 episodes

#Data Science #Tech #Tech News #Machine Learning #Francesco Gadaleta #Science #News