Data Elixir - Data Elixir - Issue 390
ISSUE 390 · June 7, 2022InsightWe Should Phase the "SQL Interview" outCoding interviews are a contentious topic. Some people strongly dislike them and others view them as a necessity. Randy Au argues here that what we’re really looking for when testing SQL is “the ability to work with relational data” — which makes a good bit of sense to me and can be evalutated in a number of other ways. Locally OptimalSean Taylor, who you may know as author of the popular forecasting library Prophet, launched a new newsletter that I’m excited to follow along with. In this first issue, he poses questions about the usefulness of A/B testing and whether generative models could provide a helping hand. Collective data rights can stop big tech from obliterating privacy“Individuals should not have to fight for their data privacy rights and be responsible for every consequence of their digital actions.” Instead, collective data rights are what can stop Big Tech from obliterating our privacy. Sponsored LinkData science shortage? Stop blaming Google’s salariesThis free report will show you what it takes to beat the tech companies in the war for data science talent. Slash data scientist recruiting costs, double your candidate pool, and reduce turnover by 80%. Download now and get 2 bonus items:data science career ladder and optimized data scientist job description. Tutorials, Projects & OpinionsFraming Feature Engineering for Machine Learning: A Generative Model of Homeowners’ Likelihood to SellThis write-up covers one data team’s journey to estimating a home’s likelihood of selling through generative models. I particularly enjoyed the plethora of details on their feature engineering approach, including examples of questions they posed e.g. “What makes a home more or less valuable to its owner?” Duo, the Push, and the BanditsVicki Boykis digs into the not-so-friendly green owl that is Duolingo: its user experience, north star metrics, and multi-armed bandit notification system. This is a fun one, with plenty of links out to more bandit-related reading if you want to go deep. A Framework for Embedding Decision Intelligence into your Organization“Decision intelligence” is a term that has been gaining traction over the last several years. More and more the problem isn’t getting the data, but rather using it effectively to make decisions. Whether for you that’s through analysis or modeling or both, this practical framework might be worth taking for a spin. What I Learned from Apply(Meetup) 2022Apply(Meetup) recently hosted a number of talks across topics in machine learning, data science, and engineering. Luckily, you didn’t have to be there to learn from them. James Le provides us with concise summaries for a variety of talks worth checking out. Project Templates for Data ScientistsStop going to multiple online forums to hack together solutions. ProjectPro has ready-made professional project templates for data extraction, data analysis, data visualization, model deployment & more. ResourcesData for SocietyIf you’re looking for data to power your next side project or are just the curious type, Microsoft has curated a collection of open datasets across a wide variety of subjects: from broadband data usage to banknote imaging to glacier mappings and more. Friendlier SQL with DuckDBDuckDB released a post on a set of new user-friendly SQL features that I hadn’t seen before. I’m excited to try these out and see more similar functionality hit the mainstream as the language continues to evolve. Was this email forwarded to you? Sign up here >> |
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Data Elixir - Issue 389
Tuesday, May 31, 2022
The technical pay gap. DS: Foundations, Challenges, Opportunities. Existential threat of data quality. ML visual explainers.
Data Elixir - Issue 388
Tuesday, May 24, 2022
Software development for DS. How random forests really work. Visualizing multicollinearity. ML for conservation.
Data Elixir - Issue 387
Tuesday, May 17, 2022
Supervised clustering. Bandits for recommender systems. JavaScript for R. Teaching data science at scale.
Data Elixir - Issue 386
Tuesday, May 10, 2022
Trusting your data. How to protect your models. How to hire for DS roles. Horizon charts.
Data Elixir - Issue 385
Tuesday, May 3, 2022
Making data actionable. Using BIG AI models in a startup. From academia to industry. ML validity. Mental models for visualization.
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