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ML Basics

Authored by shree shree

Computers

University

Used 3+ times

ML Basics
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16 questions

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1.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which of the following is NOT a type of machine learning?

Supervised learning

Unsupervised learning

Reinforcement learning

Deterministic learning

2.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What is the purpose of training a machine learning model?

To optimize the model's performance on new, unseen data

To memorize the training data

To overfit the model to the training data

To generate synthetic data

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Problem statement: You are given a dataset with 100 samples and 10 features. You want to predict whether a customer will churn or not based on these features. Which type of machine learning problem is this?

Classification

Regression

Clustering

Reinforcement learning

4.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

You are given a dataset with 100 samples and 1 target variable. Your task is to predict the value of the target variable based on the input features. Which type of machine learning problem is this?

Classification

Regression

Clustering

Dimensionality reduction

5.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Problem statement: You want to group similar documents together based on their content. Which type of machine learning problem is this?

Classification

Regression

Clustering

Reinforcement learning

6.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Problem statement: You want to train a machine learning model to play a game and maximize its score by interacting with the game environment. Which type of machine learning problem is this?

Classification

Regression

Clustering

Reinforcement learning

7.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Problem statement: You want to predict the price of a house based on its size, number of bedrooms, and location. Which type of machine learning problem is this?

Classification

Regression

Clustering

Reinforcement learning

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