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== Week 1 - Linear Regression with One variable == | == Week 1 - Linear Regression with One variable == | ||
=== Model Representation === | === Model Representation === | ||
Working with housing prices in Portland as our dataset. | |||
Symbols used | |||
* m - number of training examples | |||
* x - input variables | |||
* y - output variable | |||
=== Cost Function === | === Cost Function === | ||
=== Cost Function - Intuition : 1=== | === Cost Function - Intuition : 1=== | ||
Revision as of 00:30, 23 April 2013
Week 1 - Intro
What is Machine Learning
- Checkers playing computer (Arthur Samuel)
Supervised Learning
Right answer is provided. Types of problems
- Regression
- Classification
Unsupervised Learning
The data has no "correct answer"
Cocktail party algorithm
Week 1 - Linear Regression with One variable
Model Representation
Working with housing prices in Portland as our dataset.
Symbols used
- m - number of training examples
- x - input variables
- y - output variable