Linear Digressions

Linear Digressions

Linear Digressions is a podcast about machine learning and data science. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago. 896520

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Avsnitt(323)

Sold!  Auctions (Part 2)

Sold! Auctions (Part 2)

The Google ads auction is a special kind of auction, one you might not know as well as the famous English auction (which we talked about in the last episode). But if it's what Google uses to sell bil...

25 Jan 201617min

Going Once, Going Twice: Auctions (Part 1)

Going Once, Going Twice: Auctions (Part 1)

The Google AdWords algorithm is (famously) an auction system for allocating a massive amount of online ad space in real time--with that fascinating use case in mind, this episode is part one in a two-...

22 Jan 201612min

Chernoff Faces and Minard Maps

Chernoff Faces and Minard Maps

A data visualization extravaganza in this episode, as we discuss Chernoff faces (you: "faces? huh?" us: "oh just you wait") and the greatest data visualization of all time, or at least the Napoleonic ...

18 Jan 201615min

t-SNE: Reduce Your Dimensions, Keep Your Clusters

t-SNE: Reduce Your Dimensions, Keep Your Clusters

Ever tried to visualize a cluster of data points in 40 dimensions? Or even 4, for that matter? We prefer to stick to 2, or maybe 3 if we're feeling well-caffeinated. The t-SNE algorithm is one of t...

15 Jan 201616min

The [Expletive Deleted] Problem

The [Expletive Deleted] Problem

The town of [expletive deleted], England, is responsible for the clbuttic [expletive deleted] problem. This week on Linear Digressions: we try really hard not to swear too much. Related links: https...

11 Jan 20169min

Unlabeled Supervised Learning--whaaa?

Unlabeled Supervised Learning--whaaa?

In order to do supervised learning, you need a labeled training dataset. Or do you...? Relevant links: http://www.cs.columbia.edu/~dplewis/candidacy/goldman00enhancing.pdf

8 Jan 201612min

Hacking Neural Nets

Hacking Neural Nets

Machine learning: it can be fooled, just like you or me. Here's one of our favorite examples, a study into hacking neural networks. Relevant links: http://arxiv.org/pdf/1412.1897v4.pdf

5 Jan 201615min

Zipf's Law

Zipf's Law

Zipf's law is related to the statistics of how word usage is distributed. As it turns out, this is also strikingly reminiscent of how income is distributed, and populations of cities, and bug reports...

31 Dec 201511min

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