dl

latest

Contents:

Part I: Applied Math and Machine Learning Basics
- 5 Machine Learning Basics
  - 5.4 Estimator, Bias and Variance
  - 5.6 Bayesian Statistics
Part II: Modern Practical Deep Networks
Part III: Deep Learning Research
Extra

dl

Docs »
Part I: Applied Math and Machine Learning Basics »
5 Machine Learning Basics »
5.6 Bayesian Statistics
Edit on GitHub

5.6 Bayesian Statistics¶

Next Previous

© Copyright 2018, Ximing Revision 136d830b.

Built with Sphinx using a theme provided by Read the Docs.

Read the Docs v: latest

Versions: latest

Downloads: html; epub

On Read the Docs: Project Home; Builds

Free document hosting provided by Read the Docs.