Chevron Left
返回到 Bayesian Methods for Machine Learning

學生對 国立高等经济大学 提供的 Bayesian Methods for Machine Learning 的評價和反饋

4.5
616 個評分
180 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...

熱門審閱

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.

篩選依據:

151 - Bayesian Methods for Machine Learning 的 174 個評論(共 174 個)

創建者 P C

2020年1月30日

The course covers a lot of very advanced material and is a great starting point for Bayesian Methods, but it would greatly benefit from having additional reading materials.

創建者 Olaf W

2018年6月26日

Great class. Well presented material. Sometimes the path from introduction to advanced material could use a few steps in between.

創建者 Diego E P M

2020年4月10日

A very good course on Bayesian methods, though I find explanations are a bit confusing from time to time.

創建者 Chiang y

2018年6月3日

We may need more help for homework format or quiz answer format. It took me lots time for solving it.

創建者 Maxim V

2020年3月27日

Amazing course, an absolute must! Only some programming assignments were having minor issues.

創建者 Sai H Y

2020年5月17日

covering Additional and recent Bayesian methods will make this course exceptional

創建者 Kanhaiya K

2020年10月8日

Assignments were very helpful in understanding the core concepts

創建者 洪贤斌

2018年8月29日

Good course but a bit difficult and the peer review is helpless

創建者 MASSON

2019年4月6日

Good course.

Too much theory, not enough practice

創建者 Емельянов А

2020年10月18日

some informations are hard to undferstanding

創建者 Ibrahim S

2020年10月29日

Good Course Thanks To All

創建者 Gereon F

2020年9月10日

I like the course content and the presentations in general. I have two major points bothering me though which is why i "only" gave 3 stars:

1.The code is old. It is written in old versions of the libraries and it silly studying with those.

2. There were many mathematical formulas that were thrown around. Without graphical or real world examples i felt like it was hard to follow sometimes. One could argue that the listener has to have this knowledge going into the course but i still think that some different kinds of examples would have helped.

To conclude with something positive i must really admit that i had little clue of the background of various Bayesian ML Methods before. Know i have a good overview and was able to even program some of the Methods myself. I feel like it really enhanced my ML knowledge.

創建者 Deepanshu J

2020年11月2日

The course teaches advanced concept from Bayesian Machine Learning which are often not easily found on most of the online courses. The approach is math heavy but I believe adding some more intuition could have improved the course a bit. My major disappointment from this otherwise decent course was the quality of assignments. The programming assignments were often poorly worded with little hint about what is expected. I often had to look thorugh forum to understand what is expected to be done. Often times there were bugs or library issues in the assignment and again one was left looking for updated API notes for modules or debugging weird issues on StackOverflow.

創建者 Tim v d B

2019年12月22日

The first exercises are sessions are fun and very good.

However, the last exercise is a catastrophy. Conflicting instructions. Once I should upload a HTML version but nobody says who. Then suddenly the rules are changed and it is supposed to upload it some google cloud. This platform is qute annoying. Either I cannot edit my work any more or suddenly it just disappears. The editor is also very bad. This is just unfair. Really the technical problems in the final project are too extreme.

創建者 STEFANO F P

2020年11月11日

Interesting topics but very superficially explained. Simple theory lessons but very complex tests with many libraries that you have to learn by yourself.

創建者 Lavinia T

2018年1月29日

The trainer's English is not very good, and the explanations provided are insufficient.

創建者 Beibit

2019年6月27日

As the description suggests this course is very advanced and math heavy.

創建者 Siwei Y

2018年2月20日

给三星是因为所选的 TOPICS 很好, 真的很好。但是,说到老师的讲解,就真的不敢恭维了。从逻辑性到流畅性都让人捏把汗啊。希望改进。

創建者 hyunseung2 c

2019年9月18日

ㅁㄴㄹ

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 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.