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Data Science Reference Library
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Recent Issues:
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Issue 336
Intro to Vector databases. Dagster vs. Airflow. Fast, flexible forecasting. Decision-driven. Visualization by example. Good/Bad data scientist.
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Issue 335
Thinking in data. Spreadsheet munging strategies. Sports analytics w/ AI. Ethics and ML licensing. Cluster analysis viz.
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Issue 334
Practical SQL for data analyis. How query-matching works. Metrics at scale. Notebooks evolved: reactive, reproducible, collaborative.
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Issue 333
The Scaling Data Framework. Winning the KY Derby. Metadata analysis vs AI. Computational thinking. Art of mathematics. Missing layer for the modern data stack?
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Issue 332
DataOps. Hire for weaknesses. CLI for Jupyter. Scikit-learn course. Selecting algorithms for time-series forecasting.
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Issue 331
Working w/ data > RAM. Algorithmic bias vs data bias. Exploring network behavior. Keeping up w/ NLP. ggplot2 Geoms. Secure analytics.
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Issue 330
Data monitoring at scale. Model work vs data work. Beyond PCA. Date-time handling for R. Finding signals in the noise.
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Issue 329
Testing notebooks. Intro to PCA. Building an online ad platform. Ghosts in the data. Next-gen apps w/ GPT-3. Platforms vs PhDs.
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Issue 328
Effective data monitoring. Scaling with First Principles. Working with color scales. The Data Journalism Handbook.
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Issue 327
Data pricing. Hands-off anomaly detection. Defensible machine learning. How to write design docs. Understanding instrumental variables estimation. Pattern-based spatial analysis.
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