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Billy Chan

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Data Science Explained

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Billy Chan

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Sep 25

Precision-Recall vs. ROC Curve Explained

I’m not going to lie. I still can’t intuitively figure out precision, recall, true positive rate, false positive rate, etc. without quickly…

Precision-Recall vs. ROC Curve Explained

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Data Science Explained

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Billy Chan

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Jun 26

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…

Ridge Regression and L2 Regularisation Explained

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Data Science Explained

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Billy Chan

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Jun 12

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…

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

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Data Science Explained

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Billy Chan

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May 29

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

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

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

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Data Science Explained

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Billy Chan

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May 15

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…

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

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Data Science Explained

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Billy Chan

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May 1

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.

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

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Data Science Explained

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Billy Chan

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Apr 17

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…

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

In

Data Science Explained

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Billy Chan

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Apr 3

Causal Inference with DoWhy (5): Refutation Tests

Refutation asks a simple but powerful question:

Causal Inference with DoWhy (5): Refutation Tests

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Data Science Explained

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Billy Chan

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Mar 20

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…

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

In

Data Science Explained

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Billy Chan

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Mar 6

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…

Causal Inference with DoWhy (3): Propensity Score Matching

Billy Chan

Billy Chan

Journalist-turned-data scientist at the BBC, passionate about improving media products. I break tricky data science maths into simple ideas to remind future me.

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