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Data Science Reference Library
Subscribers get free access to a search platform that makes it easy to find content from prior issues. If you’re looking for a specific article, researching topics or just browsing for something interesting to read, start here!
Recent Issues:
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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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Issue 326
The Modern Analytics Stack. AI trends. Violin plots. Learning path for transformers. The data visualization battleground.
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Issue 325
Gartner: top data trends. Quantified Self infrastructure. Tracking data SLAs. Algorithmic audits. Data coalitions. Feature stores - a hierarchy of needs.
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Issue 324
Data Mesh 101. Data science podcasts. Differential privacy. Level-up your ggplot2 skills. Autodata tools. AI on the battlefield.
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Issue 323
Python surprises. Building the modern data stack. How to build data quality monitors w/ SQL. Supercharging Superset. Fixing the data science talent shortage.
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Issue 322
Metadata's evolving role. Machine learning science fiction. Inside a hot-button research paper 🦜. Remote pair programming with R. TinyML fundmentals.
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Issue 321
Causal design patterns. Why machine learning is hard to tune. Experimentation guardrails. Python EDA toolkit. COVID-19 modeling lessons. How to cite data sources.
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Issue 320
Data monitoring at scale. AI for Good: for REAL? Legal questions for data science. Why business intuition > machine learning. Density plots. Internal tool design.
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Issue 319
Data science as Atomic Habit. Elegant SQL w/ R. Bayesian statistics Primer. Julia update: Python challenger? Best-of Python machine learning. Notes from NeurIPS 2020.
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