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Отзывы учащихся о курсе Bayesian Methods for Machine Learning от партнера НИУ ВШЭ

Оценки: 683
Рецензии: 201

О курсе

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:

Лучшие рецензии

17 нояб. 2017 г.

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 июня 2019 г.

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.

Фильтр по:

76–100 из 195 отзывов о курсе Bayesian Methods for Machine Learning

автор: Alex E

9 мая 2018 г.

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

автор: Yu C

26 авг. 2020 г.

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

автор: NITIN S

16 мая 2020 г.

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.

автор: Subhamoy B

20 мая 2018 г.

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

автор: Roberto C S B

18 мая 2020 г.

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

автор: Meng-Chieh L

5 сент. 2018 г.

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

автор: Joyce Y

24 мая 2019 г.

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

автор: Alexandr S

1 мар. 2018 г.

Excellent course. Nice work, lectors.

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

автор: Ibrahim A

11 мая 2020 г.

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

автор: Roshan C

4 дек. 2019 г.

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

автор: John A D

13 мар. 2018 г.

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

автор: Om S P

13 нояб. 2021 г.

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

автор: Иван М

14 мая 2020 г.

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

автор: Tirth P

10 июня 2019 г.

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

автор: Husain B

9 дек. 2019 г.

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

автор: Deleted A

28 нояб. 2020 г.

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

автор: deep s p

5 июня 2021 г.

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

автор: Kiran R

31 дек. 2019 г.

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

автор: Mike L

15 мая 2020 г.

Solid math and statistic study materials and useful programming assignment.

автор: Igor P

9 окт. 2019 г.

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

автор: Yon-Seo K

22 февр. 2020 г.

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

автор: yan l

6 мар. 2018 г.

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

автор: Dr.M. E

18 июля 2020 г.

difficult concept of machine learning is explained with examples

автор: Akhil K

4 окт. 2019 г.

Very comprehensive & touched upon some very interesting problems!

автор: PAVAN S

3 окт. 2020 г.

extremely practical content with proper mathematical rigor =)