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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Backpropagation

Backpropagation

The reason that neural nets are taking over the world right now is because they can be efficiently trained with the backpropagation algorithm. In short, backprop allows you to adjust the weights of t...

29 Helmi 201612min

Text Analysis on the State Of The Union

Text Analysis on the State Of The Union

First up in this episode: a crash course in natural language processing, and important steps if you want to use machine learning techniques on text data. Then we'll take that NLP know-how and talk ab...

26 Helmi 201622min

Paradigms in Artificial Intelligence

Paradigms in Artificial Intelligence

Artificial intelligence includes a number of different strategies for how to make machines more intelligent, and often more human-like, in their ability to learn and solve problems. An ambitious grou...

22 Helmi 201617min

Survival Analysis

Survival Analysis

Survival analysis is all about studying how long until an event occurs--it's used in marketing to study how long a customer stays with a service, in epidemiology to estimate the duration of survival o...

19 Helmi 201615min

Gravitational Waves

Gravitational Waves

All aboard the gravitational waves bandwagon--with the first direct observation of gravitational waves announced this week, Katie's dusting off her physics PhD for a very special gravity-related episo...

15 Helmi 201620min

The Turing Test

The Turing Test

Let's imagine a future in which a truly intelligent computer program exists. How would it convince us (humanity) that it was intelligent? Alan Turing's answer to this question, proposed over 60 year...

12 Helmi 201615min

Item Response Theory: how smart ARE you?

Item Response Theory: how smart ARE you?

Psychometrics is all about measuring the psychological characteristics of people; for example, scholastic aptitude. How is this done? Tests, of course! But there's a chicken-and-egg problem here: y...

8 Helmi 201611min

Go!

Go!

As you may have heard, a computer beat a world-class human player in Go last week. As recently as a year ago the prediction was that it would take a decade to get to this point, yet here we are, in 2...

5 Helmi 201619min