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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Episoder(309)

Re-Release: Data Mining Enron

Re-Release: Data Mining Enron

This episode was first release in February 2015. In 2000, Enron was one of the largest and companies in the world, praised far and wide for its innovations in energy distribution and many other marke...

2 Jul 201732min

Factorization Machines

Factorization Machines

What do you get when you cross a support vector machine with matrix factorization? You get a factorization machine, and a darn fine algorithm for recommendation engines.

26 Jun 201719min

Anscombe's Quartet

Anscombe's Quartet

Anscombe's Quartet is a set of four datasets that have the same mean, variance and correlation but look very different. It's easy to think that having a good set of summary statistics (like mean, var...

19 Jun 201715min

Traffic Metering Algorithms

Traffic Metering Algorithms

Originally release June 2016 This episode is for all you (us) traffic nerds--we're talking about the hidden structure underlying traffic on-ramp metering systems. These systems slow down the flow of ...

12 Jun 201718min

Page Rank

Page Rank

The year: 1998.  The size of the web: 150 million pages.  The problem: information retrieval.  How do you find the "best" web pages to return in response to a query?  A graduate student named Larry Pa...

5 Jun 201719min

Fractional Dimensions

Fractional Dimensions

We chat about fractional dimensions, and what the actual heck those are.

29 Mai 201720min

Things You Learn When Building Models for Big Data

Things You Learn When Building Models for Big Data

As more and more data gets collected seemingly every day, and data scientists use that data for modeling, the technical limits associated with machine learning on big datasets keep getting pushed back...

22 Mai 201721min

How to Find New Things to Learn

How to Find New Things to Learn

If you're anything like us, you a) always are curious to learn more about data science and machine learning and stuff, and b) are usually overwhelmed by how much content is out there (not all of it ve...

15 Mai 201717min

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