Supervised Learning

Lesson in the Machine Learning Roadmap · Stage 15: Types of Machine Learning

Last updated 14 September 2026

What is Supervised Learning?

Supervised learning is a type of machine learning where an algorithm learns from a labeled dataset. This means that each data point in the dataset is paired with a corresponding correct output, or "label." The algorithm's goal is to learn a function that maps inputs to outputs, so that when given new, unseen inputs, it can predict the correct output based on the patterns it learned from the labeled data.

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Free resources to learn Supervised Learning

ArticleWhat is Supervised Learning?
ArticleSupervised Machine Learning
VideoSupervised Machine Learning Explained For Beginners

Supervised Learning: common questions

Can I learn Supervised Learning in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Supervised Learning in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this Supervised Learning tutorial for beginners?

It is lesson 60 of 150 in the free Machine Learning roadmap, in stage 15, Types of Machine Learning. If you are new to Machine Learning, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.