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)

Communicating data science, from academia to industry

Communicating data science, from academia to industry

For something as multifaceted and ill-defined as data science, communication and sharing best practices across the field can be extremely valuable but also extremely, well, multifaceted and ill-define...

30 Des 201926min

Optimizing for the short-term vs. the long-term

Optimizing for the short-term vs. the long-term

When data scientists run experiments, like A/B tests, it’s really easy to plan on a period of a few days to a few weeks for collecting data. The thing is, the change that’s being evaluated might have ...

23 Des 201919min

Interview with Prof. Andrew Lo, on using data science to inform complex business decisions

Interview with Prof. Andrew Lo, on using data science to inform complex business decisions

This episode features Prof. Andrew Lo, the author of a paper that we discussed recently on Linear Digressions, in which Prof. Lo uses data to predict whether a medicine in the development pipeline wil...

16 Des 201927min

Using machine learning to predict drug approvals

Using machine learning to predict drug approvals

One of the hottest areas in data science and machine learning right now is healthcare: the size of the healthcare industry, the amount of data it generates, and the myriad improvements possible in the...

8 Des 201925min

Facial recognition, society, and the law

Facial recognition, society, and the law

Facial recognition being used in everyday life seemed far-off not too long ago. Increasingly, it’s being used and advanced widely and with increasing speed, which means that our technical capabilities...

2 Des 201943min

Lessons learned from doing data science, at scale, in industry

Lessons learned from doing data science, at scale, in industry

If you’ve taken a machine learning class, or read up on A/B tests, you likely have a decent grounding in the theoretical pillars of data science. But if you’re in a position to have actually built lot...

25 Nov 201928min

Varsity A/B Testing

Varsity A/B Testing

When you want to understand if doing something causes something else to happen, like if a change to a website causes and dip or rise in downstream conversions, the gold standard analysis method is to ...

18 Nov 201936min

The Care and Feeding of Data Scientists: Growing Careers

The Care and Feeding of Data Scientists: Growing Careers

In the third and final installment of a conversation with Michelangelo D’Agostino, VP of Data Science and Engineering at Shoprunner, about growing and mentoring data scientists on your team. Some of o...

11 Nov 201925min

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