How can we systemically identify analogous food items across cultures? Learn how using word embeddings.
Self-Organizing Maps Tutorial
Visualize large datasets and identify potential clusters with this special breed of neural networks that uses neurons to learn the intrinsic shape of your data.
k-Nearest Neighbors & Anomaly Detection Tutorial
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.
Where Will Your Country Stand in World War III?
Using weapons trade data, we map out who's against who in the complex arena of international politics.
Association Rules and the Apriori Algorithm
You own a store. How do you discover purchasing patterns, such as which items tend to be bought together? Knowing this can improve your product placement and advertisement.
Convolutional Neural Networks (CNN) Introduction
While an artificial neural network could learn to recognize a cat on the left, it would not recognize the same cat if it appeared on the right. To solve this problem, we introduce convolutional neural networks.
Multi-Arm Bandit & A/B Testing
You want to publish ads for your product. While you have 2 promising ad designs, you have a limited budget. How can you find out which ad is more effective, while maximizing the impact of all the ads you publish?
K-Nearest Neighbor (KNN) Tutorial: Anomaly Detection
Outliers can be detected by algorithms used for predictions. To illustrate, we use the k-nearest neighbor (kNN) clustering algorithm.