intro

Question 1

What is Machine Learning? (Tom Mitchell - 1998)

Answer 1

A computer program is said to learn from experience E with respect to sam taks T and some performance measure P, if its performacnce on T, as measured by {, improves with experience E

Question 2

What is Machine Learning? (Tom Mitchell - 1998)

Answer 2

A computer program is said to learn from experience E with respect to some taks T and some performance measure P, if its perfprmance on T, as measured by P, improves with experience E.

Question 3

Tom Mitchell def example - emails spam

Answer 3

T- classifying emails as spam or not spam
E - watching you label emails as spam or not spam
P - the number (or fraction) of emails correctly classified

Question 4

What is Supervised Learning?

Answer 4

Data with ‘right answers’ is given. Each example in dataset has label with positive/ negative outcome.

Question 5

What is Unsupervised Learning?

Answer 5

Dataset with no label, trying to find some stutter in the given data, ex. cocktail party problem

Question 6

What is Classification problem?

Answer 6

Try to predict discrete-valued output,

ex have cancer or not, could have more values ( cancer type1, cancer type 2…)

Question 7

What is Regression Problem?

Answer 7

Predict continuous real-valued output,

ex. house price

Question 8

What is Linear Regression?

Answer 8

Linear Regression is approach for modeling the relationship between a scalar dependent varaiable y and one or more explanatory variables denoted X.

Question 9

How Learning Algorithm works?

Answer 9

Question 10

Linear Regression with on variable - equation.

Univariate linear regression.

Answer 10