How can we systemically identify analogous food items across cultures? Learn how using word embeddings.
Tag: Tutorial
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.
Decision Trees Tutorial
Decision trees can be used to identify customer profiles or to predict who will resign. Using the Titanic dataset, learn about its advantages and pitfalls, as well as better alternatives.
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.
Topic Modeling with LDA Introduction
Latent Dirichlet allocation (LDA) is a technique that automatically discovers topics that a set of documents contain. It is used to analyze large volumes of text efficiently. To find out how it works, check out this tutorial.
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