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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Jaksot(309)

GROVER: an algorithm for making, and detecting, fake news

GROVER: an algorithm for making, and detecting, fake news

There are a few things that seem to be very popular in discussions of machine learning algorithms these days. First is the role that algorithms play now, or might play in the future, when it comes to ...

16 Syys 201918min

Data science teams as innovation initiatives

Data science teams as innovation initiatives

When a big, established company is thinking about their data science strategy, chances are good that whatever they come up with, it’ll be somewhat at odds with the company’s current structure and proc...

9 Syys 201915min

Can Fancy Running Shoes Cause You To Run Faster?

Can Fancy Running Shoes Cause You To Run Faster?

This is a re-release of an episode that originally aired on July 29, 2018. The stars aligned for me (Katie) this past weekend: I raced my first half-marathon in a long time and got to read a great ar...

1 Syys 201930min

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 Elo 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 Elo 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 Elo 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 Elo 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 Heinä 201924min