Machine Learning Question With Answers Module 1

17CS73 Machine Learning Question With Answers Module-1

MODULE 1 – INTRODUCTION AND CONCEPT LEARNING

1. Define Machine Learning. Explain with examples why machine learning is important.

2. Discuss some applications of machine learning with examples.

3. Explain how some disciplines have influenced the machine learning.

4. What is well- posed learning problems.

5. Describe the following problems with respect to Tasks, Performance and Experience:

  1. A Checkers learning problem
  2. A Handwritten recognition learning problem
  3. A Robot driving learning problem

6. Explain the steps in designing a learning systems in detail.

7. Explain different perspective and issues in machine learning.

8. Define concept learning and discuss with example.

9. Explain the General-to-Specific Ordering of Hypotheses

10. Write FIND-S algorithm and explain with example given below

ExampleSkyAirTempHumidityWindWaterForecastEnjoySport
1SunnyWarmNormalStrongWarmSameYes
2SunnyWarmHighStrongWarmSameYes
3RainyColdHighStrongWarmChangeNo
4SunnyWarmHighStrongCoolChangeYes

11. What are the key properties and complaints of FIND-S algorithm?

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12. Define Consistent Hypothesis and Version Space.

13. Write LIST-THEN-ELIMINATE algorithm. Give Example.

14. Write the candidate elimination algorithm and illustrate with example

15. Write the final version space for the below mentioned training examples using candidate elimination algorithm.

Example – 1:

OriginManufacturerColorDecadeTypeExample Type
JapanHondaBlue1980EconomyPositive
JapanToyotaGreen1970SportsNegative
JapanToyotaBlue1990EconomyPositive
USAChryslerRed1980EconomyNegative
JapanHondaWhite1980EconomyPositive
JapanToyotaGreen1980EconomyPositive
JapanHondaRed1990EconomyNegative

Example – 2:

SizeColorShapeClass
BigRedCircleNo
SmallRedTriangleNo
SmallRedCircleYes
BigBlueCircleNo
SmallBlueCircleYes

Example – 3:

ExampleCitationsSizeInLibraryPriceEditionsBuy
1SomeSmallNoAffordableOneNo
2ManyBigNoExpensiveManyYes
3ManyMediumNoExpensiveFewYes
4ManySmallNoAffordableManyYes

16. Explain in detail the Inductive Bias of Candidate Elimination algorithm.

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Summary:

Her you find the Machine Learning Question With Answers Module 1.

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