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

Оценки: 684
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:

101–125 из 195 отзывов о курсе Bayesian Methods for Machine Learning

автор: 刘晶

17 апр. 2020 г.

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

автор: Debasis U

22 авг. 2019 г.

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

автор: Yutian P

3 февр. 2021 г.

Very nice and useful courser. Thanks for the knowledge!

автор: Murat O

23 июля 2019 г.

A great course to learn probabilistic machine learning!

автор: Parag H S

14 авг. 2019 г.

Bayesian Methods for machine learning course was great

автор: Nimish S

30 дек. 2017 г.

The first and best indepth course on Bayesian methods.

автор: Ануфриев С С

7 апр. 2019 г.

So far the most interesting course in specialisation

автор: RLee

15 февр. 2019 г.

The only solid online course on Bayesian ML methods!

автор: trinadh g

28 июня 2018 г.

great enlightener into bayesian view of deeplearning

автор: Sanjay K

26 янв. 2018 г.

Fantastic lecturer.. very crisp and informative

автор: Gary

2 мая 2019 г.

Covered many important points in the course.

автор: Shingo M

6 июля 2018 г.

this course is very hard for me.but helpful

автор: ilya.a.kazakov

12 мая 2018 г.

Great work the creators of the course did!

автор: Chen Z

11 февр. 2020 г.

Its a really good course, I learnt a lot

автор: Савельев Н

11 дек. 2017 г.

Best CS-related course on coursera yet

автор: Arjun B

25 нояб. 2017 г.

Excellent content, quite challenging.

автор: Xuan T D

4 сент. 2019 г.

Easy way to approach the Probability

автор: Oscar J P V

5 мар. 2020 г.

Very complete course. Recommended!

автор: Francois L

7 мар. 2019 г.

Very tough but very interesting

автор: Darwin D S P

10 авг. 2018 г.

the jupyter file is outdated

автор: Stephane H

13 нояб. 2019 г.

Great course, quite hard.

автор: vania t

20 мая 2020 г.

excellent course!

автор: M A B

31 июля 2019 г.

Amazing contents

автор: Harshit S

15 мая 2019 г.

Awesome course !

автор: Navruzbek K

17 авг. 2018 г.

Great course!!!!