Data Elixir - Data Elixir - Issue 381
ISSUE 381 · April 5, 2022In this week's issue, Roni Kobrosly continues his "Invited Topics" series on causal inference with a selection of core methods and tools. Roni is the head of data science at a Health Tech company in D.C. and he's also the creator of the open-source python package causal-curve, which offers a collection of tools to perform causal inference analysis. In case you missed it, Part 1 of the series is in Issue 378 of Data Elixir, starting about halfway down. OrganizationsThe “0/1/Done” Strategy for Data ScienceTo consistently achieve operational excellence, the data science team at News UK Technology uses a strategy they call "0/1/Done"... 0-day Handovers, 1-day Prototyping, and projects are declared "Done" when Completely Done. Here's how they work backwards from these goals to identify what's needed in terms of team, process, tooling & governance. Your Data Initiatives Can’t Just Be for Data ScientistsWithout buy-in from your organization’s rank and file, even the cleverest model will sit idle and “data-driven decision-making” will just go around in circles. Organizations need to start seeing regular people as part of their data strategy. When starting a new data project, start with two questions: 1) Who will this effect? And 2) How can we get them involved as soon as possible? Faster data analysis with PostgreSQL & TimescaleDBExcel, R, and Python are great tools for data analysis, but may not be the best for every job. Fast-track your work with larger datasets of time-series data directly in your database, using PostgreSQL and TimescaleDB. Learn how. Tutorials, Projects & OpinionsWhat does it mean to give someone what they want?It's a mistake to think that the choices we make are the same as what we value. Or even what we need. This post surveys recent work in recommender systems and shows why recommenders often fail. Ultimately, Choices ≠ Preferences ≠ Welfare. Includes practical ideas for doing better. How |
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Data Elixir - Issue 380
Tuesday, March 29, 2022
Emerging data architectures. 200K+ Salaries. Advanced EDA w/ Python. Precision & Recall. ML-based causal inference.
Data Elixir - Issue 379
Tuesday, March 22, 2022
Hard SQL interview questions. Imbalance detection. Real-world Prophet. Effective data teams. DS project quick-start. AI trends.
Data Elixir - Issue 378
Tuesday, March 15, 2022
Open salaries. Foundations of causal inference. Data Apps. Data labelling. Jupyter everywhere.
Data Elixir - Issue 377
Tuesday, March 8, 2022
Embrace complexity. ML for design. People analytics. MLOps is a mess. Algorithms for Decision Making. The evolving AI startup.
Data Elixir - Issue 376
Tuesday, March 1, 2022
Active learning. Notebooks in production. Interpretable models. Probabilistic ML: Advanced Topics.
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