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(309)

Conjoint Analysis: like AB testing, but on steroids

Conjoint Analysis: like AB testing, but on steroids

Conjoint analysis is like AB tester, but more bigger more better: instead of testing one or two things, you can test potentially dozens of options. Where might you use something like this? Well, if ...

6 Juni 201618min

Traffic Metering Algorithms

Traffic Metering Algorithms

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 traffic onto highways so that...

30 Maj 201617min

Um Detector 2: The Dynamic Time Warp

Um Detector 2: The Dynamic Time Warp

One tricky thing about working with time series data, like the audio data in our "um" detector (remember that? because we barely do...), is that sometimes events look really similar but one is a litt...

23 Maj 201614min

Inside a Data Analysis: Fraud Hunting at Enron

Inside a Data Analysis: Fraud Hunting at Enron

It's storytime this week--the story, from beginning to end, of how Katie designed and built the main project for Udacity's Intro to Machine Learning class, when she was developing the course. The pro...

16 Maj 201630min

What's the biggest #bigdata?

What's the biggest #bigdata?

Data science and is often mentioned in the same breath as big data. But how big is big data? And who has the biggest big data? CERN? Youtube? ... Something (or someone) else? Relevant link: ht...

9 Maj 201625min

Data Contamination

Data Contamination

Supervised machine learning assumes that the features and labels used for building a classifier are isolated from each other--basically, that you can't cheat by peeking. Turns out this can be easier ...

2 Maj 201620min

Model Interpretation (and Trust Issues)

Model Interpretation (and Trust Issues)

Machine learning algorithms can be black boxes--inputs go in, outputs come out, and what happens in the middle is anybody's guess. But understanding how a model arrives at an answer is critical for i...

25 Apr 201616min

Updates! Political Science Fraud and AlphaGo

Updates! Political Science Fraud and AlphaGo

We've got updates for you about topics from past shows! First, the political science scandal of the year 2015 has a new chapter, we'll remind you about the original story and then dive into what has ...

18 Apr 201631min

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