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(309)

Statistical Significance in Hypothesis Testing

Statistical Significance in Hypothesis Testing

When you are running an AB test, one of the most important questions is how much data to collect. Collect too little, and you can end up drawing the wrong conclusion from your experiment. But in a wor...

1 Apr 201922min

The Language Model Too Dangerous to Release

The Language Model Too Dangerous to Release

OpenAI recently created a cutting-edge new natural language processing model, but unlike all their other projects so far, they have not released it to the public. Why? It seems to be a little too good...

25 Mar 201921min

The cathedral and the bazaar

The cathedral and the bazaar

Imagine you have two choices of how to build something: top-down and controlled, with a few people playing a master designer role, or bottom-up and free-for-all, with nobody playing an explicit archit...

17 Mar 201932min

AlphaStar

AlphaStar

It’s time for our latest installation in the series on artificial intelligence agents beating humans at games that we thought were safe from the robots. In this case, the game is StarCraft, and the AI...

11 Mar 201922min

Are machine learning engineers the new data scientists?

Are machine learning engineers the new data scientists?

For many data scientists, maintaining models and workflows in production is both a huge part of their job and not something they necessarily trained for if their background is more in statistics or ma...

4 Mar 201920min

Interview with Alex Radovic, particle physicist turned machine learning researcher

Interview with Alex Radovic, particle physicist turned machine learning researcher

You’d be hard-pressed to find a field with bigger, richer, and more scientifically valuable data than particle physics. Years before “data scientist” was even a term, particle physicists were inventin...

25 Feb 201935min

K Nearest Neighbors

K Nearest Neighbors

K Nearest Neighbors is an algorithm with secrets. On one hand, the algorithm itself is as straightforward as possible: find the labeled points nearest the point that you need to predict, and make a pr...

17 Feb 201916min

Not every deep learning paper is great. Is that a problem?

Not every deep learning paper is great. Is that a problem?

Deep learning is a field that’s growing quickly. That’s good! There are lots of new deep learning papers put out every day. That’s good too… right? What if not every paper out there is particularly go...

11 Feb 201917min

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