Who is this class for: This course was designed for students with strong mathematical and machine learning background who want to get a different perspective of ML algorithms. Note that this is a very advanced course! You must have strong background in statistics, calculus and linear algebra.


Created by:  Higher School of Economics

Basic Info
LevelAdvanced
Commitment6 weeks of study, 6 hours/week
Language
English
Hardware ReqAccess to GPUs will be a plus, but you can complete the course without them.
How To PassPass all graded assignments to complete the course.
User Ratings
3.7 stars
Average User Rating 3.7See what learners said
Syllabus

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Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Creators
Higher School of Economics
National Research University - Higher School of Economics (HSE) is one of the top research universities in Russia. Established in 1992 to promote new research and teaching in economics and related disciplines, it now offers programs at all levels of university education across an extraordinary range of fields of study including business, sociology, cultural studies, philosophy, political science, international relations, law, Asian studies, media and communications, IT, mathematics, engineering, and more. Learn more on www.hse.ru
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Ratings and Reviews
Rated 3.7 out of 5 of 17 ratings

This course is little difficult. But I could find very helpful.

Also, I didn't find better course on Bayesian anywhere on the net. So I will recommend this if anyone wants to die into bayesian.

Tough but a must