Search result for Bayesian hierarchical model Online Courses & Certifications
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Bayesian Statistics: Techniques and Models
by Matthew HeinerTop Instructor- 4.8
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Approx. 30 hours to complete
This is the second of a two-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian methods through use of simple conjugate models. Completion of this course will give you access to a wide range of Bayesian analytical tools, customizable to your data. Normal hierarchical model...
Bayesian Statistics: Mixture Models
by Abel Rodriguez- 4.7
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Approx. 22 hours to complete
Bayesian Statistics: Mixture Models introduces you to an important class of statistical models. Hierarchical representations Sampling from a mixture model Sample code for simulating from a Mixture Model Bayesian estimation for Mixture Models Bayesian Information Criteria (BIC) Bayesian Information Criteria Example Estimating the number of components in Bayesian settings Estimating the full partition structure in Bayesian settings...
Build Regression, Classification, and Clustering Models
by Anastas Stoyanovsky- 0.0
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Approx. 20 hours to complete
You need to know how to select the best algorithm for a given job, and how to use that algorithm to produce a working model that provides value to the business. Guidelines for Building a Regression Model Using Linear Algebra Guidelines for Building a Regularized Linear Regression Model Guidelines for Building a Hierarchical Clustering Model...
Machine Learning: Clustering & Retrieval
by Emily Fox , Carlos Guestrin- 4.6
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Approx. 17 hours to complete
-Fit a mixture of Gaussian model using expectation maximization (EM). An alternative document clustering model Components of latent Dirichlet allocation model The need for Bayesian inference Learning LDA model via Gibbs sampling Hierarchical Clustering & Closing Remarks Why hierarchical clustering?...
Predictive Analytics and Data Mining
by Sridhar Seshadri- 4.4
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Approx. 24 hours to complete
Lecture 1-5: Hierarchical (Agglomerative) Clustering Lecture 2-2: Model Complexity Module 4: Model Performance and Recommendation Systems Lecture 4-1: Introduction to Model Performance...
