(Warning: super speculative, feel free to ignore) As Yogi Berra said, “It's tough to make predictions, especially about the future”. Unfortunately predicting is hard, and unsurprisingly people look for the Magic Trick™ that can resolve all the uncertainty.
From: Erik Bernhardsson
Curious about Google's newly released TensorFlow? I don't have a beefy GPU machine, so I spent some time getting it to run on EC2. The steps on how to reproduce it are pretty brutal and I wouldn't recommend going through it unless you want to waste five hours of your live.
From: Erik Bernhardsson
I haven't mentioned what I'm currently up to. Earlier this year I left Spotify to join a small startup called Better. We're going after one of the biggest industries in the world that also turns out to be completely broken.
From: Erik Bernhardsson
The other day I was looking at marketing spend broken down by channel and wanted to compute some simple uncertainty estimates. I have data like this: <th> Total spend </th> <th> Transactions </th> Channel A <td> 2292.
From: Erik Bernhardsson
I was featured in Peadar Coyle's interview series interviewing various “data scientists” – which is kind of arguable since (a) all the other ppl in that series are much cooler than me (b) I'm not really a data scientist.
From: Erik Bernhardsson
This is another post based on my talk at NYC Machine Learning. The previous two parts covered most of the interesting parts, but there are still some topics left to be discussed. To go back and read the meaty stuff, check out
From: Erik Bernhardsson
This is a blog post rewritten from a presentation at NYC Machine Learning on Sep 17. It covers a library called Annoy that I have built that helps you do nearest neighbor queries in high dimensional spaces.
From: Erik Bernhardsson
This is a blog post rewritten from a presentation at NYC Machine Learning last week. It covers a library called Annoy that I have built that helps you do (approximate) nearest neighbor queries in high dimensional spaces.
From: Erik Bernhardsson
A couple of people in my old team have been around talking about how Spotify does music recommendations and put together some quite good presentations. First one is Neville Li's presentation about Scala Data Pipelines @ Spotify:
From: Erik Bernhardsson
I was playing around with D3 last night and built a silly visualization of antipodes and how our intuitive understanding of the world sometimes doesn't make sense.
From: Erik Bernhardsson
Every once in a while when talking to smart people the topic of automation comes up. Technology has made lots of occupations redundant, so what's next? Switchboard operator, a long time ago What about software engineers?
From: Erik Bernhardsson
Here's a problem that I used to give to candidates. I stopped using it seriously a long time ago since I don't believe in puzzles, but I think it's kind of fun. Let's say you have a function that simulates a random coin flip.
From: Erik Bernhardsson
Annoy is a library written by me that supports fast approximate nearest neighbor queries. Say you have a high (1-1000) dimensional space with points in it, and you want to find the nearest neighbors to some point.
From: Erik Bernhardsson
The workflow engine battle has intensified with some more interesting entries lately! Here are a couple I encountered in the last few days. I love that at least two of them are direct references to Luigi!
From: Erik Bernhardsson
I have spent some time lately with D3. It's a lot of fun to build interactive graphs. See for instance this demo (will provide a longer writeup soon). D3 doesn't have support for 3D but you can do projections into 2D pretty easily.
From: Erik Bernhardsson
Note: this post is full of pseudo-psychology and highly speculative content. Like most fun stuff! I became a manager back in 2009. Being a developer is fun. You have this very tangible way to measure yourself.
From: Erik Bernhardsson
Saw this link on Hacker News the other day: The Highway Lane Next to Yours Isn’t Really Moving Any Faster The article describes a phenomenon unique to traffic where cars spread out when they go fast and get more compact when they go slow.
From: Erik Bernhardsson
Sometimes you have these awesome insights. A few days ago I got an idea for how to improve index building in Annoy. For anyone who isn't acquainted with Annoy – it's a C++ library with Python bindings that provides fast high-dimensional nearest neighbor search.
From: Erik Bernhardsson
Annoy is a C++/Python package I built for fast approximate nearest neighbor search in high dimensional spaces.
From: Erik Bernhardsson
I just pinged a few million random IP addresses from my apartment in NYC. Here's the result: Some notes: What's going on with Sweden? Too much torrenting? Ireland is likewise super slow, but not Northern Ireland Eastern Ukraine is also super slow, maybe not surprising given current events.
From: Erik Bernhardsson
