layman

Nov 23 2021

Mapping Global Cuisine with Word Embeddings

Kenneth Soo

How can we systemically identify analogous food items across cultures? Learn how using word embeddings.

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Mar 28 2021

Random Forest Tutorial: Predicting Goals in Soccer

Kenneth Soo

Learn how a random forest model can help us to predict the probability of a goal, with applications ranging from performance appraisal to match-fixing detection.

Jul 18 2017

Layman’s Guide to A/B Testing

Annalyn Ng

A/B tests help you decide between two options, A and B. Read this step-by-step guide on conducting your own A/B test to make the right decisions.

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Nov 03 2016

Artificial Neural Networks Introduction (Part II)

Kenneth Soo

In the 2nd part of our tutorial on artificial neural networks, we cover 3 techniques to improve prediction accuracy: distortion, mini-batch gradient descent and dropout.

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Sep 14 2016

k-Nearest Neighbors & Anomaly Detection Tutorial

Annalyn Ng

Do you know what gives red and white wine their colors? Use k-NN to discover the chemical make-up that defines typical types of wines, as well as to detect atypical ones.

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Aug 25 2016

Random Forest Tutorial: Predicting Crime in San Francisco

Kenneth Soo

Learn how random forests, an ensemble of decision trees, can help predict where and when a crime will happen in San Francisco, California.

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