Information-Driven Machine Learning

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This groundbreaking book transcends traditional machine learning approaches by introducing information measurement methodologies that revolutionize the field.

Stemming from a UC Berkeley seminar on experimental design for machine learning tasks, these techniques aim to overcome the ''black box'' approach of machine learning by reducing conjectures such as magic numbers (hyper-parameters) or model-t...

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This groundbreaking book transcends traditional machine learning approaches by introducing information measurement methodologies that revolutionize the field.

Stemming from a UC Berkeley seminar on experimental design for machine learning tasks, these techniques aim to overcome the ''black box'' approach of machine learning by reducing conjectures such as magic numbers (hyper-parameters) or model-t...

Read more
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  • Formats: pdf
  • ISBN: 9783031394775
  • Publication Date: 1 Dec 2023
  • Publisher: Springer International Publishing
  • Product language: English
  • Drm Setting: DRM