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)

Reinforcement Learning Gone Wrong

Reinforcement Learning Gone Wrong

Last week’s episode on artificial intelligence gets a huge payoff this week—we’ll explore a wonderful couple of papers about all the ways that artificial intelligence can go wrong. Malevolent actors?...

11 Juli 201628min

Reinforcement Learning for Artificial Intelligence

Reinforcement Learning for Artificial Intelligence

There’s a ton of excitement about reinforcement learning, a form of semi-supervised machine learning that underpins a lot of today’s cutting-edge artificial intelligence algorithms. Here’s a crash co...

3 Juli 201618min

Differential Privacy: how to study people without being weird and gross

Differential Privacy: how to study people without being weird and gross

Apple wants to study iPhone users' activities and use it to improve performance. Google collects data on what people are doing online to try to improve their Chrome browser. Do you like the idea of ...

27 Juni 201618min

How the sausage gets made

How the sausage gets made

Something a little different in this episode--we'll be talking about the technical plumbing that gets our podcast from our brains to your ears. As it turns out, it's a multi-step bucket brigade proce...

20 Juni 201629min

SMOTE: makin' yourself some fake minority data

SMOTE: makin' yourself some fake minority data

Machine learning on imbalanced classes: surprisingly tricky. Many (most?) algorithms tend to just assign the majority class label to all the data and call it a day. SMOTE is an algorithm for manufac...

13 Juni 201614min

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

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