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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Avsnitt(328)

When Private Data Isn't Private Anymore

When Private Data Isn't Private Anymore

After all the back-patting around making data science datasets and code more openly available, we figured it was time to also dump a bucket of cold water on everyone's heads and talk about the things ...

5 Mars 201826min

What makes a machine learning algorithm "superhuman"?

What makes a machine learning algorithm "superhuman"?

A few weeks ago, we podcasted about a neural network that was being touted as "better than doctors" in diagnosing pneumonia from chest x-rays, and how the underlying dataset used to train the algorith...

26 Feb 201834min

Open Data and Open Science

Open Data and Open Science

One interesting trend we've noted recently is the proliferation of papers, articles and blog posts about data science that don't just tell the result--they include data and code that allow anyone to r...

19 Feb 201816min

Defining the quality of a machine learning production system

Defining the quality of a machine learning production system

Building a machine learning system and maintaining it in production are two very different things. Some folks over at Google wrote a paper that shares their thoughts around all the items you might wan...

12 Feb 201820min

Auto-generating websites with deep learning

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 ...

4 Feb 201819min

The Case for Learned Index Structures, Part 2: Hash Maps and Bloom Filters

The Case for Learned Index Structures, Part 2: Hash Maps and Bloom Filters

Last week we started the story of how you could use a machine learning model in place of a data structure, and this week we wrap up with an exploration of Bloom Filters and Hash Maps. Just like last w...

29 Jan 201820min

The Case for Learned Index Structures, Part 1: B-Trees

The Case for Learned Index Structures, Part 1: B-Trees

Jeff Dean and his collaborators at Google are turning the machine learning world upside down (again) with a recent paper about how machine learning models can be used as surprisingly effective substit...

22 Jan 201818min

Challenges with Using Machine Learning to Classify Chest X-Rays

Challenges with Using Machine Learning to Classify Chest X-Rays

Another installment in our "machine learning might not be a silver bullet for solving medical problems" series. This week, we have a high-profile blog post that has been making the rounds for the last...

15 Jan 201818min

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