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Moving away from HDF5
Cyrille Rossant,
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The Impact of Index Investing: A Follow-Up
The prior piece received a much stronger reaction than I expected. The topic is complicated, with ideas that are difficult to adequately convey in words, so I’m going to use this piece as a follow-up. I’m going to look at the specific example of the Tech Bubble, which is a clear case in which the broad adoption of a…
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The dark side of big data
Everybody (1, 2, 3) is talking about big data and the chances that are not to be missed. So it would be fatal to miss this opportunity, for instance, by impo...
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Interactive NBA Shot Charts with R and Shiny
Make your own NBA shot charts. Open-source, interactive dashboard interface to NBA Stats API built with R and Shiny
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Natural Language Corpus Data: Beautiful Data
Data files are derived from the Google Web Trillion Word Corpus , as described by Thorsten Brants and Alex Franz, and distributed by the Linguistic Data Consortium.
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Reasons to choose PostgreSQL 9.6
PostgreSQL 9.6 was released a few days ago and it’s another huge milestone for the PostgreSQL community ! The release notes are way too long, so I’ve decided to pick up 6 big improvements that may change the way you will use PostgreSQL.
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Finding the genre of a song with Deep Learning
A step-by-step guide to make your computer a music expert.
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Understanding consensus and Paxos in distributed systems
A whirlwind tour on acheiving agreement in a distributed system
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Generalized linear models, abridged
Generalized linear models (GLMs) are indispensable tools in the data science toolbox. They are applicable to many real-world problems involving continuous, yes/no, count and survival data (and more). The models themselves are intuitive and can be used for inference and prediction. A few very high quality free and open…
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OFFSET is bad for skipping previous rows
OFFSET doesn’t deliver stable results and makes the query slow. Key-set pagination does neither.
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Jepsen: MongoDB
Previously in Jepsen , we discussed Redis . In this post, we’ll see MongoDB drop a phenomenal amount of data. See also: followup analyses of 2.6.7 and 3.4.0-rc3 .