
Machine Learning Basics
Authored by Srinivasulu Raju
Computers
University
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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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