Session 5 | U

What is machine learning?

• A) A method to manually program tasks

• B) A subset of AI that allows computers to learn from data

• C) A new programming language

• D) A type of hardware used in AI

Which of the following is a type of machine learning?

• A) Supervised learning

• B) Unsupervised learning

• C) Reinforcement learning

• D) All of the above

In supervised learning, the algorithm learns from:

• A) Unlabeled data

• B) Labeled data

• C) No data

• D) Random data

Which of the following is an example of supervised learning?

• A) Clustering

• B) Classification

• C) Dimensionality reduction

• D) Association

What is linear regression used for?

• To classify data into categories

• To cluster data points

• To predict a continuous target variable

• To perform dimensionality reduction

In linear regression, the relationship between the dependent variable and independent variable is assumed to be:

• A) Non-linear

• B) Random

• C) Linear

• D) Quadratic

Which of the following is the formula for a simple linear regression model?

• A) y=mx+b

• B) y=ax^2+bx+c

• C) y=x^1

• D) y=log(x)

What is the 'm' in the linear regression formula y=mx+b?

• A) Intercept

• B) Dependent variable

• C) Independent variable

• D) Slope of the line

Which metric is commonly used to evaluate the performance of a linear regression model?

• A) Accuracy

• B) Confusion matrix

• C) Mean Squared Error (MSE)

• D) Precision

What is the primary goal of unsupervised learning?

• To predict future outcomes

• To find hidden patterns in data

• To maximize rewards

• To sort data in a predetermined way