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(316)

Kalman Runners

Kalman Runners

The Kalman Filter is an algorithm for taking noisy measurements of dynamic systems and using them to get a better idea of the underlying dynamics than you could get from a simple extrapolation. If yo...

29 Okt 201514min

Neural Net Inception

Neural Net Inception

When you sleep, the neural pathways in your brain take the "white noise" of your resting brain, mix in your experiences and imagination, and the result is dreams (that is a highly unscientific explana...

23 Okt 201515min

Benford's Law

Benford's Law

Sometimes numbers are... weird. Benford's Law is a favorite example of this for us--it's a law that governs the distribution of the first digit in certain types of numbers. As it turns out, if you'r...

16 Okt 201517min

Guinness

Guinness

Not to oversell it, but the student's t-test has got to have the most interesting history of any statistical test. Which is saying a lot, right? Add some boozy statistical trivia to your arsenal in ...

7 Okt 201514min

PFun with P Values

PFun with P Values

Doing some science, and want to know if you might have found something? Or maybe you've just accomplished the scientific equivalent of going fishing and reeling in an old boot? Frequentist p-values ...

2 Sep 201517min

Watson

Watson

This machine learning algorithm beat the human champions at Jeopardy. What is... Watson?

25 Aug 201515min

Bayesian Psychics

Bayesian Psychics

Come get a little "out there" with us this week, as we use a meta-study of extrasensory perception (or ESP, often used in the same sentence as "psychics") to chat about Bayesian vs. frequentist statis...

18 Aug 201511min

Troll Detection

Troll Detection

Ever found yourself wasting time reading online comments from trolls? Of course you have; we've all been there (it's 4 AM but I can't turn off the computer and go to sleep--someone on the internet is...

7 Aug 201512min

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