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Machine Learning Basics

Authored by Srinivasulu Raju

Computers

University

Used 490+ times

Machine Learning Basics
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10 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is Machine learning?

The autonomous acquisition of knowledge through the use of computer programs

he autonomous acquisition of knowledge through the use of manual programs

The selective acquisition of knowledge through the use of computer programs

The selective acquisition of knowledge through the use of manual programs

2.

MULTIPLE CHOICE QUESTION

1 min • 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

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What device below is not an example of Machine Learning?

Wearable fitness tracker

Google Assistant

Speech to Text

Google Search

None of the above

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

_______________________ is a category of an algorithm that allows software applications to become more accurate in predicting outcomes without being explicitly programmed.

Artificial Intelligence

Machine Learning

Deep Learning

Traditional Learning

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Who is the Chess grand master beaten in a game by I.B.M.'s system?

Gary Kapov

Garry Kasper

Gary Kasparov

Gary Kerpov

6.

MULTIPLE SELECT QUESTION

1 min • 1 pt

What are the three types of Machine Learning? Choose three.

Supervised Learning

Learning Differentiated

Unsupervised Learning

Reinforcement Learning

Technical Learning

7.

MULTIPLE SELECT QUESTION

1 min • 1 pt

What are the two types of Supervised Learning?

Classification

Declassification

Progression

Regression

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