The hazards of A/B testing

FIRST DAY JITTERS
The Podcast of Small Differences
The first episode of this new “data science flavored” podcast covers what the two hosts—of physics and economics backgrounds—wished they knew on day one of their first data science jobs. - Otis Anderson & Ian Blumenfeld

FASTER AND CHEAPER
Optimizing BigQuery: Cluster your tables
Learn how to use this new BigQuery feature, and you could be running the same query for one-tenth the cost. - Felipe Hoffa

PREP FOR PITFALLS
Guidelines For A/B Testing
There are many ways A/B Testing can go wrong, but most of them won’t be obvious. Here are 12 guidelines that will help you guard against some common mistakes and set you up for success. - Hooked on Data

IT’S A BIG ONE
Learning Meaning and Semantics in Natural Language Processing
A few weeks ago, data science Twitter spun out a fascinating mega-thread on NLP meaning and semantics. Since Twitter threads can be tricky to parse after-the-fact, this summary, interactive tweet tree, and commented map provide three entry points into the discussion. - Hugging Face

SHADES OF GRAY
What HBR Gets Wrong About Algorithms and Bias
This post injects some much-needed nuance into the biased algorithms discussion: humans vs machines is not a helpful framing and most critics of unjust bias aren’t anti-algorithm. - fast.ai

New from Mode

How We Learn Analytical Skills on the Job: Alexa Guerra
In this blog series, we’ll take a look at how three of our colleagues earned themselves a new skillset. First up, how our Demand Generation Manager uses SQL to tie conversions from B2B marketing campaigns to down-the-funnel actions. - Mode

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