Module 0

Question 1

Model Based Approach

Answer 1

Deeriving Model from first principles
- Like Newton’s Law

Question 2

Data-Driven Approach

Answer 2

When model based approach don;’t work such as stock market/human behavior/the brain

Question 3

Supervised Learning

Answer 3

Given a training dataset with inputs/outputs x and y
- Given an input, the model knows the output
- Ex. training the model to learn to identify cats by showing it a bunch of cat pictures

Question 4

Unsupervised Learning

Answer 4

Building statistical model where there are inputs but no supervising output
- Model will plot points/find similarities that humans can then learn from
- Ex. putting a set of images with dogs and cats and putting them into two boxes then seeing how many are in each box

Question 5

Classification Problem

Answer 5

Trying to predict a certain outcome based on input data
- Ex. predicting the stock market based on previous data

Question 6

Clustering Problem

Answer 6

Type of unsupervised learning to group data into clusters
- No labels used, just plotting points and seeing what happens
- With the hope we’ll learn something from it