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Machine Learning Basics

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Fun intro to ML concepts

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Machine Learning Basics
 

Machine Learning BasicsOnline version

Fun intro to ML concepts

by Aidan
1

What is the difference between binary and multiclass in ML?

2

What are features in a dataset?

3

What is a label in ML?

4

Which part is the training data for ML?

5

Which part is the test data for ML?

6

Why do we split data into training and testing?

7

What is a simple benefit of ML in daily life?

8

What is an ethical issue in ML?

9

Which is an example of a bias in ML?

10

What is a responsible way to handle data in ML?

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