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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Certificate Availability |
|---|
| no |
The Syllabus
- Foundations of Bayesian Inference
- Bayes theorem
- Advantages of Bayesian models
- Why Bayesian approach is so important in Analytics
- Major densities and their applications
- Likelihood theory and Estimation
- Parametrizations and priors
- Learning from binary models
- Learning from Normal Distribution
- Basics of Monte carol integration
- Basics of Markov chain Monte Carlo
- Gibs Sampling
- Examples of Bayesian Analytics
- Introduction to R and OPENBUGS for Bayesian analysis
- Context for Bayesian Regression Models
- Normal Linear regression
- Logistic regression
- Introduction to Multilevel models
- Exchangeability
- Computation in Hierarchical Models
Instructors
Articles
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27 Feb'24, 10:32 AM
13 Feb'24, 06:25 AM
24 Dec'24, 07:17 AM
23 Dec'24, 11:20 AM
23 Dec'24, 09:30 AM
23 Dec'24, 09:29 AM
23 Dec'24, 09:12 AM
23 Dec'24, 09:08 AM
19 Dec'24, 09:48 AM
19 Dec'24, 06:44 AM
17 Dec'24, 12:40 PM
17 Dec'24, 04:01 AM
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