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(322)

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 Juni 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 Juni 201719min

Fractional Dimensions

Fractional Dimensions

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

29 Maj 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 Maj 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 Maj 201717min

Federated Learning

Federated Learning

As machine learning makes its way into more and more mobile devices, an interesting question presents itself: how can we have an algorithm learn from training data that's being supplied as users inter...

8 Maj 201714min

Word2Vec

Word2Vec

Word2Vec is probably the go-to algorithm for vectorizing text data these days.  Which makes sense, because it is wicked cool.  Word2Vec has it all: neural networks, skip-grams and bag-of-words impleme...

1 Maj 201717min

Feature Processing for Text Analytics

Feature Processing for Text Analytics

It seems like every day there's more and more machine learning problems that involve learning on text data, but text itself makes for fairly lousy inputs to machine learning algorithms.  That's why th...

24 Apr 201717min

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