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)

Organizational Models for Data Scientists

Organizational Models for Data Scientists

When data science is hard, sometimes it’s because the algorithms aren’t converging or the data is messy, and sometimes it’s because of organizational or business issues: the data scientists aren’t pos...

25 Aug 201923min

Data Shapley

Data Shapley

We talk often about which features in a dataset are most important, but recently a new paper has started making the rounds that turns the idea of importance on its head: Data Shapley is an algorithm f...

19 Aug 201916min

A Technical Deep Dive on Stanley, the First Self-Driving Car

A Technical Deep Dive on Stanley, the First Self-Driving Car

This is a re-release of an episode that first ran on April 9, 2017. In our follow-up episode to last week's introduction to the first self-driving car, we will be doing a technical deep dive this wee...

12 Aug 201941min

An Introduction to Stanley, the First Self-Driving Car

An Introduction to Stanley, the First Self-Driving Car

In October 2005, 23 cars lined up in the desert for a 140 mile race. Not one of those cars had a driver. This was the DARPA grand challenge to see if anyone could build an autonomous vehicle capable...

5 Aug 201914min

Putting the "science" in data science: the scientific method, the null hypothesis, and p-hacking

Putting the "science" in data science: the scientific method, the null hypothesis, and p-hacking

The modern scientific method is one of the greatest (perhaps the greatest?) system we have for discovering knowledge about the world. It’s no surprise then that many data scientists have found their s...

29 Juli 201924min

Interleaving

Interleaving

If you’re Google or Netflix, and you have a recommendation or search system as part of your bread and butter, what’s the best way to test improvements to your algorithm? A/B testing is the canonical a...

22 Juli 201916min

Federated Learning

Federated Learning

This is a re-release of an episode first released in May 2017. As machine learning makes its way into more and more mobile devices, an interesting question presents itself: how can we have an algorit...

14 Juli 201915min

Endogenous Variables and Measuring Protest Effectiveness

Endogenous Variables and Measuring Protest Effectiveness

This is a re-release of an episode first released in February 2017. Have you been out protesting lately, or watching the protests, and wondered how much effect they might have on lawmakers? It's a t...

7 Juli 201917min

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