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Bayesian Inference with MCMC(으)로 돌아가기

Databricks의 Bayesian Inference with MCMC 학습자 리뷰 및 피드백

3.3
별점
12개의 평가

강좌 소개

The objective of this course is to introduce Markov Chain Monte Carlo Methods for Bayesian modeling and inference, The attendees will start off by learning the the basics of Monte Carlo methods. This will be augmented by hands-on examples in Python that will be used to illustrate how these algorithms work. This will be the second course in a specialization of three courses .Python and Jupyter notebooks will be used throughout this course to illustrate and perform Bayesian modeling with PyMC3. The course website is located at https://sjster.github.io/introduction_to_computational_statistics/docs/index.html. The course notebooks can be downloaded from this website by following the instructions on page https://sjster.github.io/introduction_to_computational_statistics/docs/getting_started.html. The instructor for this course will be Dr. Srijith Rajamohan....
필터링 기준:

Bayesian Inference with MCMC의 2개 리뷰 중 1~2

교육 기관: GBM

2021년 12월 29일

교육 기관: Ross

2022년 3월 7일