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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

4.6
étoiles
528 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: coursera@hse.ru...

Meilleurs avis

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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51 - 75 sur 149 Avis pour Bayesian Methods for Machine Learning

par Thomas F

Jan 11, 2020

Great introduction to Bayesian Inference. The final project is fun but maybe a little too easy. If you are looking for deeper math understanding, you will need to do more research on your own but the course gives you many references to look into. Definitely a must have!

par Hythem S

Dec 16, 2017

Excellent course with great theoretical and practical coverage. There aren't many online courses that offer in-depth coverage of Bayesian methods. Keep in mind this is a newer course and there are a few kinks that still need to be ironed out, but the issues are minor.

par Peppe G

Feb 20, 2018

I really enjoyed the course. The content is very relevant and rigorous. It is proper university level course on Bayesian methods. The lectures were very good at explaining the material and the assignment were enjoyable. Definitely one of the best courses on Coursera.

par Debasish G

Nov 14, 2019

This is one of the bets and advanced courses on machine learning that I have done so far. Loved the math part and the programming part. This course has the best coverage of expectation maximization algorithms that I have seen so far. Absolutely loved the course.

par Diogo P

Jan 05, 2018

Great course. The material is explained with great detail, including the respective mathematical proofs. The assignments could be a bit more demanding, though. The instructors support is very good - they usually answer every question in the forum in a few days.

par SRINJOY G

Mar 02, 2020

Truly amazing course and the only course online which covers various essential aspects of Bayesian Machine Learning and Bayesian Deep Learning which is at the forefront of the research today in the field of AI and Machine Learning.

par Chan H Y

May 08, 2018

This course requires fairly good mathematics background. Some topics cover in this course are not often being taught (or only taught in advance research courses) in Computer Science or Engineering Department in other Universities

par David G

Aug 21, 2018

A very good course with lots of challenging but interesting content. Prior knowledge of Statistics and ML is highly recommended or essential prior to starting the course because there is a steep learning curve.

par Hyunseok

May 10, 2020

Nice lecture!

Two lecturers explained the meaning of mathematics process in the Bayesian methods. It was very helpful.

Also, I got useful tools in machine learning problem by using helpful library!

par Liu Y

Mar 17, 2018

Concise but very informative, challenges not only from knowledge but also from various tools if you've never met them before. Indeed, great course!

par Tomaso V

May 15, 2020

The topics are very interesting, and clearly explained.

I really appreciated the questions included in the lessons, which help to keep attention.

par Alex E

May 09, 2018

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

par Nitin S

May 16, 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

May 20, 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

May 18, 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

Sep 05, 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 Xinyue W

May 24, 2019

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

par Alex

Mar 01, 2018

Excellent course. Nice work, lectors.

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

par Ibrahim A

May 11, 2020

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

par Roshan C

Dec 04, 2019

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

par John A D

Mar 13, 2018

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

par Марков И С

May 14, 2020

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

par Tirth P

Jun 11, 2019

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

par Husain B

Dec 09, 2019

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

par Kiran K R

Dec 31, 2019

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