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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Episoder(321)

The work-from-home episode

The work-from-home episode

Many of us have the privilege of working from home right now, in an effort to keep ourselves and our family safe and slow the transmission of covid-19. But working from home is an adjustment for many ...

29 Mar 202029min

Understanding Covid-19 transmission: what the data suggests about how the disease spreads

Understanding Covid-19 transmission: what the data suggests about how the disease spreads

Covid-19 is turning the world upside down right now. One thing that’s extremely important to understand, in order to fight it as effectively as possible, is how the virus spreads and especially how mu...

23 Mar 202025min

Network effects re-release: when the power of a public health measure lies in widespread adoption

Network effects re-release: when the power of a public health measure lies in widespread adoption

This week’s episode is a re-release of a recent episode, which we don’t usually do but it seems important for understanding what we can all do to slow the spread of covid-19. In brief, public health m...

15 Mar 202026min

Causal inference when you can't experiment: difference-in-differences and synthetic controls

Causal inference when you can't experiment: difference-in-differences and synthetic controls

When you need to untangle cause and effect, but you can’t run an experiment, it’s time to get creative. This episode covers difference in differences and synthetic controls, two observational causal i...

9 Mar 202020min

Better know a distribution: the Poisson distribution

Better know a distribution: the Poisson distribution

This is a re-release of an episode that originally ran on October 21, 2018. The Poisson distribution is a probability distribution function used to for events that happen in time or space. It’s super...

2 Mar 202031min

The Lottery Ticket Hypothesis

The Lottery Ticket Hypothesis

Recent research into neural networks reveals that sometimes, not all parts of the neural net are equally responsible for the performance of the network overall. Instead, it seems like (in some neural...

23 Feb 202019min

Interesting technical issues prompted by GDPR and data privacy concerns

Interesting technical issues prompted by GDPR and data privacy concerns

Data privacy is a huge issue right now, after years of consumers and users gaining awareness of just how much of their personal data is out there and how companies are using it. Policies like GDPR are...

17 Feb 202020min

Thinking of data science initiatives as innovation initiatives

Thinking of data science initiatives as innovation initiatives

Put yourself in the shoes of an executive at a big legacy company for a moment, operating in virtually any market vertical: you’re constantly hearing that data science is revolutionizing the world and...

10 Feb 202017min

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