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Machine Learning Introduction and Basics

Authored by Wayground Content

Computers

7th - 12th Grade

Used 1+ times

Machine Learning Introduction and Basics
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20 questions

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1.

MULTIPLE CHOICE QUESTION

10 sec • 1 pt

__________________ algorithms enable the computers to learn from data, and even improve themselves, without being explicitly programmed.

Artificial Intelligence

Machine Learning

Deep Learning

Traditional Learning

2.

MULTIPLE CHOICE QUESTION

10 sec • 1 pt

'6. What year did Artifical Intelligence first stirred excitement?

1905

1950

1590

1915

3.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Who invented the Perceptron which was a very, very simple classifier but when it was combined in large numbers, in a network, it became a powerful monster?

Frank Rosemarie

Frank Rosenblet

Frank Rosenblatt

Frank Rosenbat

4.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What year did Deep Learning breakthroughs drove A.I. (Artificial Intelligence) boom?

2010

2009

2001

2008

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

This picture shows an application of ...

Supervised Learning: Classification

Unsupervised Learning: Clustering

Unsupervised Learning: Prediction

Supervised Learning: Regression

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

This picture shows a result of ...

Supervised Learning: Classification

Unsupervised Learning: Regression

Unsupervised Learning: Prediction

Supervised Learning: Regression

7.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

In this type of Machine Learning, an AI system is presented with unlabeled, uncategorized data and the system’s algorithms act on the data without prior training. The output is dependent upon the coded algorithms.

Supervised Learning

Unsupervised Learning

Reinforcement Learning

Technique Learning

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