Bayesian Methods

Machine learning based on bayesian statistics

Latent Variable Models

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Category: { bayesian } { machine learning }
References: - Trevor Hastie, Robert Tibshirani, J. F. (2004). The Elements of Statistical Learning. Springer Science & Business Media. - Christpher M. Bishop. (2006). Pattern Recognition and Machine Learning. Springer-Verlag New York. - What is wrong with VAEs?
Summary: Latent variable models brings us new insights on identifying the patterns of some sample data.
Pages: 4

Evidence Lower Bound: ELBO

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Category: { machine learning }
Summary: ELBO is an very important concept in variational methods
Pages: 4

2 Bayesian Linear Regression

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Category: { Machine Learning }
Summary: Bayesian Linear Regression
Pages: 4

1 Naive Bayes

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Category: { Machine Learning }
References: - Naive Bayesian - Naive Bayes classifier @ Wikipedia - Ross, S. M. (2021). Introduction to Probability and Statistics for Engineers and Scientists (6th ed.). Academic Press.
Summary: Naive Bayes
Pages: 4