event thumbnail image
Pascal Symposium meeting

Machine learning open source software

author: Sören Sonnenburg, Fraunhofer FIRST
You might be experiencing some problems with Your Video player.
Slides
0:00 Machine Learning Open Source Software
0:14 Outline
0:37 What is Open Source Software?
1:37 Open Source Definition
3:10 Open Science
3:53 Open Access
5:11 Opening Machine Learning
6:45 Advantages of Machine Learning Open Source Software
8:49 Obstacles to an MLOSS community
10:40 Read our Position Paper
10:57 Timeline - 1
11:16 Timeline - 2
11:25 Timeline - 3
11:38 Timeline - 4
11:50 Timeline - 5
12:02 Workshops
13:52 New JMLR Track
15:06 Community site mloss.org
15:47 mloss.org Screenshot
17:25 The story so far...
17:44 Success Story? => Not yet
20:34 Call for help
21:41 Join the team!
21:51 Plans for 2008
22:39 Data Set Standards
23:49 Summary
24:40 - Questions and Opinions

Lecture rating

People found this lecture:
Worth seeing
because it is:
 Valuable and informative
Well presented
Easily understandable
Acceptably recorded
You need to login to cast your vote.

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.

Link this page

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

Write your own review or comment:

make sure you have javascript enabled or clear this field: