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Data Science Interview Handbook

Types of ML Problems

Explore various types of machine learning problems such as supervised learning with classification and regression, unsupervised learning like clustering, and others such as semi-supervised, reinforcement, online, active, and multi-task learning. This lesson helps you identify the right ML problem type and approach suitable solutions accordingly.

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In this lesson, you will learn about the different types of machine learning problems. This section helps in identifying the correct type of machine learning problem and applying the solution.

Supervised learning

Supervised learning is the class of the problems whose solution results mapping, between input and output. The objective of the supervised learning model is to predict the output correctly with the help of a given input vector. These models are trained on training data, and their performance is measured on test data. Supervised learning contains two types of ...