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
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 Tammi 201818min
The Fourier Transform
The Fourier transform is one of the handiest tools in signal processing for dealing with periodic time series data. Using a Fourier transform, you can break apart a complex periodic function into a bu...
8 Tammi 201815min
Statistics of Beer
What better way to kick off a new year than with an episode on the statistics of brewing beer?
2 Tammi 201815min
Re - Release: Random Kanye
We have a throwback episode for you today as we take the week off to enjoy the holidays. This week: what happens when you have a markov chain that generates mashup Kanye West lyrics with Bible verses?...
24 Joulu 20179min
