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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

4.6
530 個評分
155 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

Nov 18, 2017

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

Jun 07, 2019

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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76 - Bayesian Methods for Machine Learning 的 100 個評論(共 149 個)

創建者 Mike L

May 15, 2020

Solid math and statistic study materials and useful programming assignment.

創建者 Igor P

Oct 09, 2019

Excellent course. Definitely touches advanced topics with the due rigor.

創建者 Yon-Seo K

Feb 22, 2020

The VAE part was really good. I will continue working on it on my own.

創建者 yan l

Mar 06, 2018

The lecture in real detail explain what is going on behind the model!

創建者 Akhil K

Oct 04, 2019

Very comprehensive & touched upon some very interesting problems!

創建者 刘晶

Apr 18, 2020

One of the best course I've learned on coursera. Thank you!

創建者 Debasis S

Aug 23, 2019

I found it tuff to get everything, but a very good course

創建者 Murat Ö

Jul 23, 2019

A great course to learn probabilistic machine learning!

創建者 Parag H S

Aug 14, 2019

Bayesian Methods for machine learning course was great

創建者 Nimish S

Dec 31, 2017

The first and best indepth course on Bayesian methods.

創建者 Ануфриев С С

Apr 07, 2019

So far the most interesting course in specialisation

創建者 RLee

Feb 15, 2019

The only solid online course on Bayesian ML methods!

創建者 Trinadh

Jun 29, 2018

great enlightener into bayesian view of deeplearning

創建者 Sanjay K

Jan 26, 2018

Fantastic lecturer.. very crisp and informative

創建者 Gary

May 03, 2019

Covered many important points in the course.

創建者 Shingo M

Jul 07, 2018

this course is very hard for me.but helpful

創建者 ilya.a.kazakov

May 12, 2018

Great work the creators of the course did!

創建者 Chen Z

Feb 11, 2020

Its a really good course, I learnt a lot

創建者 Савельев Н

Dec 11, 2017

Best CS-related course on coursera yet

創建者 Arjun B

Nov 25, 2017

Excellent content, quite challenging.

創建者 Truong D

Sep 04, 2019

Easy way to approach the Probability

創建者 Oscar J P V

Mar 05, 2020

Very complete course. Recommended!

創建者 François L

Mar 07, 2019

Very tough but very interesting

創建者 Darwin D S P

Aug 10, 2018

the jupyter file is outdated

創建者 Stephane H

Nov 13, 2019

Great course, quite hard.