- Markov Model
- Mathematical Modeling
- Probability & Statistics
- Statistical Modeling
- Bayesian Statistics
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Bayesian Statistics: Mixture Models
Completed by Anne Nielsen
December 28, 2020
21 hours (approximately)
Anne Nielsen's account is verified. Coursera certifies their successful completion of Bayesian Statistics: Mixture Models
What you will learn
Explain the basic principles behind the algorithm for fitting a mixture model.
Compute the expectation and variance of a mixture distribution.
Use mixture models to solve classification and clustering problems, and to provide density estimates.
Skills you will gain
