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Data Science Reference Library
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Recent Issues:
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Issue 358
Intro to wavelets. Breathing K-Means. Neural nets from scratch. What to learn. Generative art w/ R.
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Issue 357
State of AI 2021. False positives. Bayesian optimization. Covid data glitches. Kernel algorithms. KPIs for machine learning classifiers.
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Issue 356
The 2021 Data Landscape. Art of linear algebra. Human regression ensemble. SQLite Playground. Bullshit visualization. Intro to deep learning.
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Issue 355
Top places to work. Start w/o Machine Learning. Beyond bar charts. Diminishing returns.
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Issue 354
Salary report. Percentile approximation. Horizon Plots for ggplot2. Timezone madness. Modern BI. Participatory data stewardship.
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Issue 353
Full stack data science. The Great Resignation. The Puzzle Of football ⚽ Analytics. Media mix modeling. Streaming data machine learning. What's an OLAP cube?
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Issue 352
Clever matrices. Best practices for recommenders. Software design for data scientists. Gentle intro to GNNs. Decision Making at Netflix.
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Issue 351
Quantifying Interestingness. Lightweight data validation. The data experience. Inferring concept drift. Working with U.S. Census data.
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Issue 350
Cheatsheets. Exploring R² w/ diagrams. Similarity search. Machine learning Explained for 5 levels of expertise. How to write clearly.
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Issue 349
Too big for RAM. Data science role evolution. Bootstrapping labels. Making better decsions w/ stats. Data quality unpacked. Data platforms.
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