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Avis et commentaires pour d'étudiants pour Bayesian Methods for Machine Learning par Université nationale de recherche, École des hautes études en sciences économiques

530 évaluations
155 avis

À propos du cours

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:

Meilleurs avis


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.


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 - 100 sur 149 Avis pour Bayesian Methods for Machine Learning

par Mike L

May 15, 2020

Solid math and statistic study materials and useful programming assignment.

par Igor P

Oct 09, 2019

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

par Yon-Seo K

Feb 22, 2020

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

par yan l

Mar 06, 2018

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

par Akhil K

Oct 04, 2019

Very comprehensive & touched upon some very interesting problems!

par 刘晶

Apr 18, 2020

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

par Debasis S

Aug 23, 2019

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

par Murat Ö

Jul 23, 2019

A great course to learn probabilistic machine learning!

par Parag H S

Aug 14, 2019

Bayesian Methods for machine learning course was great

par Nimish S

Dec 31, 2017

The first and best indepth course on Bayesian methods.

par Ануфриев С С

Apr 07, 2019

So far the most interesting course in specialisation

par RLee

Feb 15, 2019

The only solid online course on Bayesian ML methods!

par Trinadh

Jun 29, 2018

great enlightener into bayesian view of deeplearning

par Sanjay K

Jan 26, 2018

Fantastic lecturer.. very crisp and informative

par Gary

May 03, 2019

Covered many important points in the course.

par Shingo M

Jul 07, 2018

this course is very hard for me.but helpful

par ilya.a.kazakov

May 12, 2018

Great work the creators of the course did!

par Chen Z

Feb 11, 2020

Its a really good course, I learnt a lot

par Савельев Н

Dec 11, 2017

Best CS-related course on coursera yet

par Arjun B

Nov 25, 2017

Excellent content, quite challenging.

par Truong D

Sep 04, 2019

Easy way to approach the Probability

par Oscar J P V

Mar 05, 2020

Very complete course. Recommended!

par François L

Mar 07, 2019

Very tough but very interesting

par Darwin D S P

Aug 10, 2018

the jupyter file is outdated

par Stephane H

Nov 13, 2019

Great course, quite hard.