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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Revisiting Biased Word Embeddings

Revisiting Biased Word Embeddings

The topic of bias in word embeddings gets yet another pass this week. It all started a few years ago, when an analogy task performed on Word2Vec embeddings showed some indications of gender bias aroun...

24 Kesä 201918min

Attention in Neural Nets

Attention in Neural Nets

There’s been a lot of interest lately in the attention mechanism in neural nets—it’s got a colloquial name (who’s not familiar with the idea of “attention”?) but it’s more like a technical trick that’...

17 Kesä 201926min

Interview with Joel Grus

Interview with Joel Grus

This week’s episode is a special one, as we’re welcoming a guest: Joel Grus is a data scientist with a strong software engineering streak, and he does an impressive amount of speaking, writing, and po...

10 Kesä 201939min

Re - Release: Factorization Machines

Re - Release: Factorization Machines

What do you get when you cross a support vector machine with matrix factorization? You get a factorization machine, and a darn fine algorithm for recommendation engines.

3 Kesä 201920min

Re-release: Auto-generating websites with deep learning

Re-release: Auto-generating websites with deep learning

We've already talked about neural nets in some detail (links below), and in particular we've been blown away by the way that image recognition from convolutional neural nets can be fed into recurrent ...

27 Touko 201919min

Advice to those trying to get a first job in data science

Advice to those trying to get a first job in data science

We often hear from folks wondering what advice we can give them as they search for their first job in data science. What does a hiring manager look for? Should someone focus on taking classes online, ...

19 Touko 201917min

Re - Release: Machine Learning Technical Debt

Re - Release: Machine Learning Technical Debt

This week, we've got a fun paper by our friends at Google about the hidden costs of maintaining machine learning workflows. If you've worked in software before, you're probably familiar with the idea...

12 Touko 201922min

Estimating Software Projects, and Why It's Hard

Estimating Software Projects, and Why It's Hard

If you’re like most software engineers and, especially, data scientists, you find it really hard to make accurate estimates of how long a project will take to complete. Don’t feel bad: statistics is m...

5 Touko 201919min