Types of machine learning

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Card 1 of 54.1.1

4.1.1

Question

What decides which type of machine learning applies?

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All 5 Flashcards — Types of machine learning

Card 1concept

Question

What decides which type of machine learning applies?

Answer

What the algorithm is given to learn from: labelled examples, unlabelled data, or an environment to act in. Answer that and you have named the type.

Card 2comparison

Question

What is the difference between supervised and unsupervised learning?

Answer

Supervised learns from labelled examples to predict the label of something new. Unsupervised is given no labels and finds groups or structure the data already contains — but cannot say what those groups mean.

Card 3definition

Question

What is reinforcement learning?

Answer

An agent acts in an environment, receives a reward or penalty for what happens, and over thousands of attempts learns which actions earn the most reward. It needs no dataset, but must be allowed to fail repeatedly.

Card 4definition

Question

What makes deep learning different from other approaches?

Answer

It uses many layers, each building on what the last found — edges, then shapes, then whole objects — so it works out its own features. The cost is needing a great deal of data and being hard to explain.

Card 5definition

Question

What is transfer learning and when is it used?

Answer

Starting from a model already trained on a related task and retraining only its final layers on your own data. It is used when you have too few examples to train from scratch — hundreds rather than millions.

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Topic 4.1 hub

Machine learning fundamentals

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