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A Crash Course on Causality – Part 2
Jun 30, 2024

A Crash Course on Causality – Part 2

A guide to building robust decision-making systems in businesses with causal inference.

Poisson Regression vs. Linear Regression
Jun 29, 2024

Poisson Regression vs. Linear Regression

Linear regression is not the only linear model.

ANN-driven KMeans with Faiss
Jun 28, 2024

ANN-driven KMeans with Faiss

20x speedup over sklearn.

Sparklines: Create Plots in A DataFrame’s Cell
Jun 27, 2024

Sparklines: Create Plots in A DataFrame’s Cell

A concise and elegant way to create visualisations.

Introduction to Federated Learning
Jun 26, 2024

Introduction to Federated Learning

A step towards privacy-preserving ML.

Why is OLS Called an Unbiased Estimator?
Jun 25, 2024

Why is OLS Called an Unbiased Estimator?

Along with a common misconception about unbiasedness.

A Crash Course on Causality – Part 1
Jun 24, 2024

A Crash Course on Causality – Part 1

A guide to building robust decision-making systems in businesses with causal inference.

HDBSCAN vs. DBSCAN
Jun 23, 2024

HDBSCAN vs. DBSCAN

What limitations does HDBSCAN address?

7 Categorical Data Encoding Techniques
Jun 22, 2024

7 Categorical Data Encoding Techniques

...summarized in a single frame.

4 Ways to Test ML Models in Production
Jun 21, 2024

4 Ways to Test ML Models in Production

...explained visually

Even Two Outliers Can Distort Your Data Analysis
Jun 20, 2024

Even Two Outliers Can Distort Your Data Analysis

...And here's how to avoid drawing misleading conclusions.

The Mathematics Behind RBF Kernel
Jun 19, 2024

The Mathematics Behind RBF Kernel

...and why it so powerful

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