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Data Science Explained

@data-science-explained

articles: 15
total claps: 279
top claps: 65
avg read: 6.1 min
active: 2025-09-26 → 2026-06-26

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#data-science ·14 #causal-inference ·6 #dowhy ·6 #propensity-score-matching ·4 #bayesian-statistics ·3 #machine-learning ·3 #linear-regression ·3 #propensity-score ·3 #bayes-theorem ·2 #causal-data-science ·1

AI SCI

BI Billy Chan · Data Science Explained

Causal Inference with DoWhy (3): Propensity Score Matching

In the previous two articles, we talked about the basics of causal inference and the simplest way to control for covariates: linear…

Mar 06, 2026 · 4 min read · 65 claps #propensity-score #propensity-score-matching #data-science

Causal Inference with DoWhy (3): Propensity Score Matching

AI SCI

BI Billy Chan · Data Science Explained

Ridge Regression and L2 Regularisation Explained

I once worked on a project for BBC News that used TF-IDF and Ridge Regression to predict how long readers would engage with news articles…

Jun 26, 2026 · 4 min read · 51 claps #ridge-regression #lasso-regression #l2-regularization

Ridge Regression and L2 Regularisation Explained

MED AI SCI

BI Billy Chan · Data Science Explained

Causal Inference with DoWhy (6): Diagnostics with Standardised Mean Difference (SMD)

If you’ve followed Parts 1 to 5 of this series, you should already be able to run causal inference with DoWhy in practice. The concepts can…

Apr 17, 2026 · 7 min read · 45 claps #causal-inference #data-science #propensity-score

Causal Inference with DoWhy (6): Diagnostics with Standardised Mean Difference (SMD)

AI SCI

BI Billy Chan · Data Science Explained

Causal Inference with DoWhy (5): Refutation Tests

Refutation asks a simple but powerful question:

Apr 03, 2026 · 9 min read · 26 claps #causal-inference #dowhy #refutation

Causal Inference with DoWhy (5): Refutation Tests

AI SCI

BI Billy Chan · Data Science Explained

Causal Inference with DoWhy (1): Chains, Forks, and Colliders

Correlation can fool us. Learn how chains, forks, and colliders help uncover real causal effects using DoWhy.

Feb 06, 2026 · 8 min read · 22 claps #causal-inference #causal-data-science #dowhy

Causal Inference with DoWhy (1): Chains, Forks, and Colliders

SOC AI SCI BIO

BI Billy Chan · Data Science Explained

A Trick of the Mind: I Find My Daughter Naughty, Only Because I Am Slow

I recently picked up A Trick of the Mind: How the Brain Invents Your Reality by Daniel Yon, after being fascinated by the idea of the…

May 15, 2026 · 5 min read · 17 claps #a-trick-of-the-mind #neuroscience #neurodiversity

A Trick of the Mind: I Find My Daughter Naughty, Only Because I Am Slow

HUM AI SCI

BI Billy Chan · Data Science Explained

Prediction Intervals vs Confidence Intervals

Confidence intervals describe models. Prediction intervals describe reality. Here’s a simple, practical way to understand and compute both.

Jan 23, 2026 · 8 min read · 13 claps #prediction-interval #confidence-interval #data-science

Prediction Intervals vs Confidence Intervals

AI SCI

BI Billy Chan · Data Science Explained

Causal Inference with DoWhy (2): Linear Regression

How linear regression estimates causal effects, why it works, and where it falls short compared with matching methods.

Feb 20, 2026 · 4 min read · 10 claps #linear-regression #causal-inference #dowhy

Causal Inference with DoWhy (2): Linear Regression

AI SCI

BI Billy Chan · Data Science Explained

Causal Inference with DoWhy (4): Inverse Probability of Treatment Weighting (IPTW)

In the previous article, I talked about propensity score matching. The propensity score is the probability that a subject receives the…

Mar 20, 2026 · 5 min read · 10 claps #dowhy #causal-inference #propensity-score-matching

Causal Inference with DoWhy (4): Inverse Probability of Treatment Weighting (IPTW)

AI SCI

BI Billy Chan · Data Science Explained

t-SNE Explained: Visualising High-Dimensional Data

A beginner-friendly guide to how t-SNE turns high-dimensional data into intuitive 2D visualisations using probabilities and perplexity.

Dec 26, 2025 · 10 min read · 9 claps #snet #t-sne-explained #data-science

t-SNE Explained: Visualising High-Dimensional Data

MDA AI SCI

BI Billy Chan · Data Science Explained

Everything Is Predictable: 300 Years Ago, People Talked About Math for Fun

I recently finished reading Everything Is Predictable: How Bayes’ Remarkable Theorem Explains the World by Tom Chivers.

May 01, 2026 · 4 min read · 5 claps #everything-is-predictable #bayesian-statistics #bayes-theorem

Everything Is Predictable: 300 Years Ago, People Talked About Math for Fun

AI LIF SCI

BI Billy Chan · Data Science Explained

Mutual Information Explained: Reveals Hidden Relationships in Data

Mutual information uncovers hidden relationships between variables that correlation can’t see. Here’s how it works.

Nov 28, 2025 · 5 min read · 4 claps #mutual-information #information-theory #data-science

Mutual Information Explained: Reveals Hidden Relationships in Data

AI SCI

BI Billy Chan · Data Science Explained

Monty Hall and Bayes’ Theorem: Why Your First Choice Is Usually Wrong

Your gut says 50–50, but the math says otherwise. A game of doors shows why switching choices can double your chances.

Sep 26, 2025 · 5 min read · 1 claps #monty-hall-problem #statistics #bayes-theorem

Monty Hall and Bayes’ Theorem: Why Your First Choice Is Usually Wrong

HUM AI SCI

BI Billy Chan · Data Science Explained

Superforecasting: He lost his daughter, and still chose probability over fate

This is the most emotionally affecting data book I have read so far.

May 29, 2026 · 7 min read · 1 claps #superforecasting #forecasting #data-science

Superforecasting: He lost his daughter, and still chose probability over fate

HUM AI

BI Billy Chan · Data Science Explained

TF-IDF (Term Frequency-Inverse Document Frequency) Explained

I once created a project for BBC News using TF-IDF to predict the engagement time of news articles. The idea was to build a benchmark that…

Jun 12, 2026 · 8 min read · 0 claps #tfidf-vectorizer #tf-idf #naturallanguageprocessing