When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.

Bayesian Statistics: Mixture Models
This course is part of Bayesian Statistics Specialization
Free

This Course Includes
coursera
4.6 (48 reviews )
21 hours (approximately)
english
Online - Self Paced
course
University of California, Santa Cruz
About Bayesian Statistics: Mixture Models
Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate
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..