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)

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 Mai 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 Mai 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 Mai 201919min

The Black Hole Algorithm

The Black Hole Algorithm

53.5 million light-years away, there’s a gigantic galaxy called M87 with something interesting going on inside it. Between Einstein’s theory of relativity and the motion of a group of stars in the gal...

29 Apr 201920min

Structure in AI

Structure in AI

As artificial intelligence algorithms get applied to more and more domains, a question that often arises is whether to somehow build structure into the algorithm itself to mimic the structure of the p...

21 Apr 201919min

The Great Data Science Specialist vs. Generalist Debate

The Great Data Science Specialist vs. Generalist Debate

It’s not news that data scientists are expected to be capable in many different areas (writing software, designing experiments, analyzing data, talking to non-technical stakeholders). One thing that h...

15 Apr 201914min

Google X, and Taking Risks the Smart Way

Google X, and Taking Risks the Smart Way

If you work in data science, you’re well aware of the sheer volume of high-risk, high-reward projects that are hypothetically possible. The fact that they’re high-reward means they’re exciting to thin...

8 Apr 201919min

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

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