Introduction to Statistical Machine Learning

author: Marcus Hutter, IDSIA
published: March 11, 2008,   recorded: March 2008,   views: 30664


Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.

 Watch videos:   (click on thumbnail to launch)

Watch Part 1
Part 1 51:09
Watch Part 2
Part 2 54:36
Watch Part 3
Part 3 40:08


The first part of his tutorial provides a brief overview of the fundamental methods and applications of statistical machine learning. The other speakers will detail or built upon this introduction.

Statistical machine learning is concerned with the development of algorithms and techniques that learn from observed data by constructing stochastic models that can be used for making predictions and decisions.

Topics covered include Bayesian inference and maximum likelihood modeling; regression, classification, density estimation, clustering, principal component analysis; parametric, semi-parametric, and non-parametric models; basis functions, neural networks, kernel methods, and graphical models; deterministic and stochastic optimization; overfitting, regularization, and validation.

See Also:

Download slides icon Download slides: mlss08au_hutter_isml.pdf (1.6┬áMB)

Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Reviews and comments:

Comment1 Kx, April 10, 2008 at 9:24 a.m.:

I think part 2 finishes about 14 min.

Comment2 Nina (staff), May 15, 2008 at 4:29 p.m.:

Thnx for your comment. We have replaced the old part 2 with a new video.

Comment3 p, May 15, 2008 at 7:21 p.m.:

Perhaps an irrelevant comment about the last slide in part 2: in the example with the cube packing the dimension, at which the central spere sticks out of the cube, seems to be d=10, not d=11. For d=9 the sphere touches the cube faces (follows from (sqrt(d)-1)/2=1).

Comment4 Aric Joshua, August 23, 2021 at 6:30 a.m.:

Thanks for the useful lecture, the numbers have become familiar

Comment5 flagle, September 27, 2023 at 9:57 a.m.:

I gained so much after seeing your post! In the past I often played games, this is a fun game for entertainment, but now I will follow you, reading your article will give me more knowledge.

Write your own review or comment:

make sure you have javascript enabled or clear this field: