Updated On : Aug-02,2022 Time Investment : ~10 mins

Machine Learning Basics

Please make a NOTE that you'll need to get 70% of questions correct in order to pass the quiz.

What Do You Mean By Machine Learning?

autonomous knowledge acquisition via the use of manual programs

selective knowledge acquisition through the use of manual programs

The self-directed learning of information using computer programs

Selected knowledge acquisition through the use of computer programs
How Many machine learning methods are there?

3

5

7

9
Machine learning is a subset of_________

Data Learning

Deep Learning

Artificial Intelligence

None of the above
Analysis of machine learnign algorithm needs _____________?

Statistical learning theory

Computational learning theory

Both A & B

None of the above
What about machine learning is accurate?

ML stands for machine learning, a branch of computer science.

ML is a sort of artificial intelligence that use an algorithm or technique to extract patterns from unstructured data.

The basic goal of machine learning (ML) is to enable computers to learn from experience without explicit programming or human oversight.

All of the above
When using model-based learning techniques, the ML models that are created based on different model parameters go through an iterative process known as?

superparameters tuning

hyperparameters tuning

Both A & B

None of the above
Which of the following machine learning algorithms is based on the concept of bagging and is frequently used?

Regression

Random Forest

Classification

Decision Tree
Which of the below regularization-related claims is untrue?

If you choose a big value of lambda, your hypothesis may be overfit to the data.

When lambda is used in excess, your theory may not adequately match the facts.

The performance of your hypothesis won't be harmed by using a very high value of lambda.

None of the above
Data points have negetive residual

if they are below the regression line

if they are above the regression line

if the regression line actually passes through the point

None of the above
In linear regression, we want to find the line of best fit by computing the model's least square errors.

Change

Maximize

Minimize

None of the above

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