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Top /r/MachineLearning posts, January


Talking Machines, SVM lectures, a new Stanford statistical learning online course, and a listing of open-source datasets top the most popular Reddit posts on /r/MachineLearning for the month of January.



Talking Machines By Grant Marshall

Here we look back on the top posts in the month of January on /r/MachineLearning. Some of these are included in previous weekly posts while a couple of these come from before the weekly posts began.

1. TalkingMachines: a new podcast featuring interviews with Geoff Hinton, Yann Lecun, Yoshua Bengio and lots more! +99

This post wasn’t included in any of our previous top lists because it comes from the beginning on January. It links to a fantastic new podcast that already has great episodes including Geoff Hinton and Kevin Murphy. Based on how well it has started out, I look forward to seeing how this develops!

2. Support Vector Machines - A wonderful lecture by MIT professor Patrick Winston - [49:34] +94

This video is an excellent introduction to SVMs. No matter your experience level, it’s an approachable short lecture on the topic that’s worth a viewing.

3. Stanford statistical learning online course taught by Hastie & Tibshirani starting soon (Jan 20th) +85

This post links to a Stanford online course on statistical learning that started near the end of January. Registration is still open, so if you’re looking to take a course on statistical learning, this is a great opportunity.

4. Can we have a regular "Simple Questions Thread"? +79

As discussed previously, this thread initiated the recurring simple questions threads. There was a question thread each week for a couple of weeks, but it seems it has now died out.

5. A growing list of free and open-source datasets +77

When we first saw this thread post, one of the main attractions was that it was on GitHub, allowing public modifications to the list. Since its first post, it has been modified, so there should be some different data sets available on the list.

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