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Introduction to PyMC3 for Bayesian Modeling and Inference(으)로 돌아가기

Databricks의 Introduction to PyMC3 for Bayesian Modeling and Inference 학습자 리뷰 및 피드백

강좌 소개

The objective of this course is to introduce PyMC3 for Bayesian Modeling and Inference, The attendees will start off by learning the the basics of PyMC3 and learn how to perform scalable inference for a variety of problems. This will be the final 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:

Introduction to PyMC3 for Bayesian Modeling and Inference의 4개 리뷰 중 1~4

교육 기관: Flavio L

2022년 1월 24일

​​amazing, nice material, well explained

교육 기관: Jack R

2022년 5월 7일

Will teach you a lot about Bayesian statistics, but often times the code is not well suited for beginners. Especially the final project. They give the code to do it, but a standard logistic regression problem would have been better suited rater than a differential equations model with various classes.

교육 기관: Rafael B

2021년 8월 10일

Coding evaluations don't exist as promised, the more advanced content regarding MCMC diagnosis and applicate bayesian inference is just thrown away without good explanations

교육 기관: Wang X

2022년 1월 5일

Can not reproduce the results from the codes, and no helps gotten either from the forums nor reply from instructors (through email).