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Introduction to Machine Learning

Authored by Nguyen Hao

Science, Mathematics, Business

KG - Professional Development

CCSS covered

Used 47+ times

Introduction to Machine Learning
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10 questions

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1.

MULTIPLE CHOICE QUESTION

20 sec • 5 pts

Machine learning is a subset of artificial intelligence

True

False

2.

MULTIPLE CHOICE QUESTION

20 sec • 5 pts

 

Machine learning is one of the steps in a data science project.

True

False

3.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

Which of the below is not supervised learning?

Spam email identification

House price prediction

Clustering customers into different groups of similarity

4.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

Which of the below is not unsupervised learning?

Fraud detection

Customer segmentation

Face recognition

5.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

In tabular data, what does a row and column represent?

Row = feature, column = entity

Column = feature, row = entity

Tags

CCSS.3.MD.B.3

6.

MULTIPLE SELECT QUESTION

45 sec • 5 pts

In which cases, machine learning is NOT useful?

A bank wants to call to sell bond to top 10 percent customers

A bank wants find potential customers to offer lending but has no data about past interaction

A bank want to segment customers into different groups to serve them better

A bank wants to display credit card banner to all digital app users

7.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

Which is NOT a part of a data science project?

Define business problem

Scrap data that is needed

Take care of customers to get their best feedbacks

Train the model

Generate leads of potential customers for business

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