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DataScience - 26

Authored by Bhupalam Priya

Engineering

University

Used 2+ times

DataScience - 26
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16 questions

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1.

MULTIPLE CHOICE QUESTION

20 sec • 2 pts

What is the goal of Machine Learning?

Write complex programs

Automate repetitive tasks

Learn from data and make predictions

Store large datasets

2.

MULTIPLE CHOICE QUESTION

20 sec • 2 pts

Which of the following is a type of Machine Learning?

Recursive Learning

Supervised Learning

Conditional Learning

Patterned Learning

3.

MULTIPLE CHOICE QUESTION

20 sec • 2 pts

Which ML type finds patterns in unlabeled data?

Unsupervised

Supervised Learning

Reinforcement

Semi-supervised

4.

MULTIPLE CHOICE QUESTION

20 sec • 2 pts

Reinforcement Learning uses:

Labels

Clusters

Rewards and Penalties

Decision Trees

5.

MULTIPLE CHOICE QUESTION

20 sec • 2 pts

In supervised learning, what is “label”?

An algorithm

A target output

A feature

A random guess

6.

MULTIPLE CHOICE QUESTION

20 sec • 2 pts

Which of the following is a classification algorithm?

Linear Regression

K-Means

PCA

Logistic Regression

7.

MULTIPLE CHOICE QUESTION

20 sec • 2 pts

Which is an example of supervised learning?

Spam Detection

Data Clustering

Customer Segmentation

Fraud Detection

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