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學生對 俄罗斯国家研究型高等经济大学 提供的 Bayesian Methods for Machine Learning 的評價和反饋

4.5
643 個評分
188 條評論

課程概述

People apply Bayesian methods in many areas: from game development to drug discovery. They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets. Bayesian methods also allow us to estimate uncertainty in predictions, which is a desirable feature for fields like medicine. When applied to deep learning, Bayesian methods allow you to compress your models a hundred folds, and automatically tune hyperparameters, saving your time and money. In six weeks we will discuss the basics of Bayesian methods: from how to define a probabilistic model to how to make predictions from it. We will see how one can automate this workflow and how to speed it up using some advanced techniques. We will also see applications of Bayesian methods to deep learning and how to generate new images with it. We will see how new drugs that cure severe diseases be found with Bayesian methods. Do you have technical problems? Write to us: coursera@hse.ru...

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JG
2017年11月17日

This course is little difficult. But I could find very helpful.\n\nAlso, I didn't find better course on Bayesian anywhere on the net. So I will recommend this if anyone wants to die into bayesian.

LB
2019年6月6日

Excellent course! The perfect balance of clear and relevant material and challenging but reasonable exercises. My only critique would be that one of the lecturers sounds very sleepy.

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176 - Bayesian Methods for Machine Learning 的 182 個評論(共 182 個)

創建者 Alexander P

2020年3月10日

The instructions are hard to follow. Most of the material presented as purely mathematical derivation exercises that do not have stated goal.

On the plus side the topics covered in the course are very interesting. Personally, I ended up using this course as a guide and looked for explanations elsewhere.

創建者 Gourab C

2018年6月26日

I felt the explanations too mechanical and in between they skipped a lot of concepts and explanations.

創建者 Ahmad

2019年1月16日

Not structured well

創建者 Hazem A

2021年1月2日

Good strong content and assignments , however the language fluency of the instructors is a BIG barrier ... I can hardly understand the speech utterances of the instructors ..

創建者 Hamed G

2020年7月31日

Very poor explanation of the theory and math.

創建者 Pavel A

2020年10月17日

Lecturer doesn't explain anything.

創建者 Sheril A T

2021年2月25日

The teaching style is very bad.