Data Elixir - Data Elixir - Issue 394
ISSUE 394 · July 5, 2022InsightWe Take Our Units of Measurement for GrantedIn a perfect world, you choose the unit of measurement that is optimal for the question you’re trying to answer in some analysis. But practically, more often than not, this isn’t the case. Take Randy Au’s advice and think twice next time you’re deciding on a unit of measurement. Staff Data Scientist: Comments on Will Larson's Staff Engineer BookThere’s not a ton of writing out there about what it’s like filling a “staff-plus” data science role. What does it entail? What does it take to succeed? Harlan Harris answers both of these questions relating to Will Larson’s excellent book, Staff Engineer: Leadership beyond the management track. Sponsored LinkReady to work faster & do more with your data?From the creators of D3, Observable's free Plot library allows you to quickly build complex, engaging, and customizable data visualizations. You can easily swap in any dataset, and then export visualizations to reports, data apps, or dashboards in just minutes. Work faster and more effectively to drive actionable insights that power better decision-making. Learn more and start your free trial today! Tutorials, Projects & OpinionsCausal Forecasting at LyftI really enjoyed this zoomed-out look at how Lyft thinks about causal forecasting. The post proposes thinking about each team as “a function which optimizes their metrics given a set of inputs” and through this lens, takes you on a tour of what that looks like for them. A Beginner's Introduction to Mixed Effects ModelsThis wakthrough is a masterclass from Megan Hall on mixed effects models. If you’re interested in the statistics behind these models or how to implement them in R, check it out. Geo-based A/B Testing at InstacartThis post from the Catalog Team at Instacart goes deep into how their new geo-based A/B testing system works, along with the “Difference-in-Difference” analysis that it enables. The explanations here are clear and easy to follow. Introducing ShopifyQL: Our New Commerce Data Querying LanguageShopify built out an intriguing new commerce-focused querying language called ShopifyQL. The idea here is to build abstractions on common SQL patterns for commerce so that anyone can easily access their data. Something tells me we’ll be seeing more of this across more use cases. Explore, develop, and grow with world-class Data ScientistsWant to join a trusted community of DS leaders from companies like Amazon, Stripe, Notion, and Asana? Join On Deck Data Science, a continuous community for ambitious Data Science leaders who want to maximize their impact and accelerate their careers alongside a highly-curated network of peers. Learn More and Apply
Here. ResourcesPen and Paper Exercises in Machine LearningSometimes, the best tools for thinking are just a pen and piece of paper. If you agree and want to put your machine learning knowledge to the test, you’re in luck. This paper has a bunch of exercises ranging from linear algebra to Markov models to variational inference. Lightweight (Bayesian) Marketing Mix ModelingGoogle open-sourced a Prophet-like library that allows users to easily train Bayesian Marketing Mix Models. If you’ve ever been posed with the question of how effective your marketing channels are, then MMMs could be of use. For more background, this talk on the subject from a few years back is a good one. Was this email forwarded to you? Sign up here >> |
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Data Elixir - Issue 393
Tuesday, June 28, 2022
What Julia gets right. ML stack trends. Scraped data: fair game? Things you should know about DBs. Investment research platform for DS.
Data Elixir - Issue 392
Tuesday, June 21, 2022
Graph ML intro. JTBD for data teams. How to get data out of PDFs. Research highlights from Meta. Reproducible research workflows.
Data Elixir - Issue 391
Tuesday, June 14, 2022
ML design patterns. Awesome data leadership. Faster Pandas. ML experimentation in VS Code.
Data Elixir - Issue 390
Tuesday, June 7, 2022
Friendlier SQL. Decision Intelligence framework. Collective data rights.
Data Elixir - Issue 389
Tuesday, May 31, 2022
The technical pay gap. DS: Foundations, Challenges, Opportunities. Existential threat of data quality. ML visual explainers.
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