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Avis et commentaires pour d'étudiants pour Bayesian Methods for Machine Learning par Université HSE

683 évaluations
201 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 this online HSE course 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 can be found with Bayesian methods. Do you have technical problems? Write to us:

Meilleurs avis

17 nov. 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.

6 juin 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 195 Avis pour Bayesian Methods for Machine Learning

par Alex E

9 mai 2018

Challenging, but well designed course covering cutting edge ML methods. The course assumes high proficency with Tensorflow, Keras, and Python.

par Yu C

26 août 2020

It delivers the rigor and the insights. Would be even better if the assignments leaves implementation of some algorithms to be done manually.


16 mai 2020

one of the most in-depth course on Bayesian Methods on the whole internet, it would have been much better if I had taken this much earlier.

par Subhamoy B

20 mai 2018

I would like to thank the instructors for this great course. This is definitely not an easy course. But the learning has been immense.

par Roberto C S B

18 mai 2020

It's hard course, you need solid knowledge about deep learning, Bayesian statistics and machine learning, but is really worth it

par Meng-Chieh L

5 sept. 2018

This is a very interesting class and I learned some concepts and techniques that are beneficial to my work as a data scientist.

par Joyce Y

24 mai 2019

Fantastic contents! It explains a lot of concepts that confused me when I started Bayesian machine learning very well.

par Alexandr S

1 mars 2018

Excellent course. Nice work, lectors.

Interesting approach with reverted video and glass wall for formulas inference.

par Ibrahim A

11 mai 2020

Highly involved course with lots of practical learning. First time, I struggled to finish a course. Great learning.

par Roshan C

4 déc. 2019

The best course to learn about maths behind the optimization and also helped to clarify the mathematics lies behind

par John A D

13 mars 2018

Excellent course ! Pointed to concepts and techniques that would be hard to access without this expert guidance.

par Om S P

13 nov. 2021

A​lthough an high level course, the topics taught were extremely informative and useful in real life

par Иван М

14 mai 2020

amazing course, helps to inderstand many aspects of probability methods and bayesian inference!

par Tirth P

10 juin 2019

Mathematically Heavy and highly theoretical course. This makes this course unique and awesome

par Husain B

9 déc. 2019

Amazing course, take you from brief to advance level concepts of bayesian stats and methods.

par Deleted A

28 nov. 2020

Amazing course. The mathematical content is really interesting. Absolutely enjoyed it!!.

par deep s p

5 juin 2021

T​hank you for the course. I learnt a lot about Bayesian Optimization from this course

par Kiran R

31 déc. 2019

This is the best introductory course that is available for Bayesian deep learning.

par Mike L

15 mai 2020

Solid math and statistic study materials and useful programming assignment.

par Igor P

9 oct. 2019

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

par Yon-Seo K

22 févr. 2020

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

par yan l

6 mars 2018

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

par Dr.M. E

18 juil. 2020

difficult concept of machine learning is explained with examples

par Akhil K

4 oct. 2019

Very comprehensive & touched upon some very interesting problems!


3 oct. 2020

extremely practical content with proper mathematical rigor =)