Reducing the data from many features to a small number so that we can properly visualize it in two or three dimensions. It is done in_______

The correct answer is B. un-supervised learning. The opposite of supervised learning is a set of tasks known as unsupervised learning. In unsupervised learning, there's no label or target value given for the data. A task where we group similar items together is known as clustering. In unsupervised learning, we may also want…

Unsupervised Learning

Question

Options

Asupervised learning
Bun-supervised learning
Ck-Nearest Neighbors
DSupport vector machines

How the community answered

(27 responses)

A
4% (1)
B
81% (22)
C
4% (1)
D
11% (3)

Explanation

The opposite of supervised learning is a set of tasks known as unsupervised learning. In unsupervised learning, there's no label or target value given for the data. A task where we group similar items together is known as clustering. In unsupervised learning, we may also want to find statistical values that describe the data. This is known as density estimation. Another task of unsupervised learning may be reducing the data from many features to a small number so that we can properly visualize it in two or three dimensions

Topics

#unsupervised learning#dimensionality reduction#data visualization#feature reduction

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