Machine Learning

Q1. A model of language consists of the categories which does not include one of these options:

System Unit

data units

structural units.

empirical units

Q2. Which of the following is NOT supervised learning?

Linear regression

Decision Tree

PCA

Naive Bayesian

Q3. Which of these options begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual preterminal symbols are written?

bottom-up parser

top-down parser

top parser

bottom parser

Q4. What is the model that will be trained with data in one single batch known as ?

Both A and B

Batch learning

None of the above

Offline learning

Q5. Which of the following are ML methods?

supervised learning

based on human supervision

semi-reinforcement Learning

All of the above

Q6. p → 0q is not a?

hack clause

structural clause

system clause

horn clause

Q7. Which action of a robot arm is meant to specify to Place block A on block B?

ARRAY(A,B)

STACK(A,B)

QUEUE(A,B)

LIST(A,B)

Q8. ML is a field of AI consisting of what kind of learning algorithms?

Improve their performance

All of the above

At executing some task

Over time with experience

Q9. Which of these is not included in the different learning methods in machine learning?

Deduction

Introduction

Analogy

Memorization

Q10. High entropy means that the partitions in classification are

Useless

Useful

Not pure

Pure

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