Autoencoders
Autoencoders are neural nets that are optimized for creating outputs that... look like the inputs to the network. Turns out this is a not-too-shabby way to do unsupervised machine learning with neural...
12 Maalis 201812min
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 Maalis 201826min
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 Helmi 201834min
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 Helmi 201816min
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 Helmi 201820min
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 Helmi 201819min
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 Tammi 201820min
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 Tammi 201818min
