Linear Digressions

Linear Digressions

In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.

http://lineardigressions.com

Eine durchschnittliche Folge dieses Podcasts dauert 18m. Bisher sind 303 Folge(n) erschienen. Dies ist ein wöchentlich erscheinender Podcast.

Gesamtlänge aller Episoden: 4 days 4 hours 10 minutes

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Introducing Hidden Markov Models (HMM Part 1)

Wikipedia says, "A hidden Markov model (HMM) is a…

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 March 24, 2015  14m
 
 

Monte Carlo For Physicists

This is another physics-centered podcast, about a…

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 March 13, 2015  8m
 
 

Random Kanye

Ever feel like you could randomly assemble words …

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 March 5, 2015  8m
 
 

Lie Detectors

Often machine learning discussions center around …

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 February 25, 2015  9m
 
 

The Enron Dataset

In 2000, Enron was one of the largest and compani…

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 February 9, 2015  12m
 
 

Labels and Where To Find Them

Supervised classification is built on the backs o…

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 February 4, 2015  13m
 
 

Um Detector 1

So, um... what about machine learning for audio a…

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 January 23, 2015  13m
 
 

Better Facial Recognition with Fisherfaces

Now that we know about eigenfaces (if you don't, …

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 January 7, 2015  11m
 
 

Facial Recognition with Eigenfaces

A true classic topic in ML: Facial recognition is…

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 January 7, 2015  10m
 
 

Stats of World Series Streaks

Baseball is characterized by a high level of equa…

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 December 17, 2014  12m