Machine Learning Concepts

Machine Learning Concepts

11th Grade

10 Qs

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Machine Learning Concepts

Machine Learning Concepts

Assessment

Quiz

Mathematics

11th Grade

Practice Problem

Easy

Created by

srinivas muralidharan

Used 1+ times

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main characteristic of Supervised Learning?

Does not involve prediction

Requires unsupervised data

Does not need any data

Requires labeled training data

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Give an example of an Unsupervised Learning algorithm.

Logistic Regression

Linear Regression

K-means clustering

Decision Tree

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Explain the concept of Neural Networks in machine learning.

Neural Networks are algorithms that only work with numerical data in machine learning.

Neural Networks are physical networks of wires and cables used in machine learning.

Neural Networks are a type of software that can only be run on supercomputers in machine learning.

Neural Networks are algorithms inspired by the human brain's structure, consisting of interconnected nodes that process data to make predictions.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do Decision Trees work in the context of machine learning?

Decision Trees split the data based on target values instead of feature values

Decision Trees always select the first feature at each node

Decision Trees split the data based on feature values to create a tree-like structure, selecting the best feature at each node to maximize information gain or minimize impurity.

Decision Trees randomly assign feature values to create a tree-like structure

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Regression Analysis used for in machine learning?

Classifying images based on features

Predicting continuous values based on the relationship between variables.

Identifying outliers in a dataset

Clustering data points into groups

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Name a popular Clustering Algorithm used in machine learning.

Hierarchical Clustering

Linear Regression

K-means

DBSCAN

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the difference between supervised and unsupervised learning?

Supervised learning uses labeled data, while unsupervised learning does not.

Supervised learning uses unlabeled data, while unsupervised learning uses labeled data.

Supervised learning does not require a model, while unsupervised learning does.

Supervised learning is used for classification tasks, while unsupervised learning is used for regression tasks.

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