Machine learning Week 1 — Supervised learning: regression and classification

I recently enrolled in Machine Learning course by Stanford University on Coursera. I am really excited about it. It seems that the week 1 course covers the introduction to Machine learning, its application, intro to supervised and unsupervised learning and videos on how to properly use the forums.

I will be writing my blogs regularly by covering what I learn from the course. The text will be written totally based off on my understanding of the topic as far as possible.

Machine Learning - Stanford University | Coursera

Supervised Learning

It is the type of learning that the machine does when the answers to any particular question/situation is already known. For example, predicting the price for a real estate by size of the house. Supervised learning are categorized into two types of problems: Regression problem and classification problem

Regression

It is the type of problem in which the machine is trying to predict the output with a continuous value rather than a discrete value.

Classification

It is the type of problem in which the machine is trying to predict the output with a discrete value, for eg. with 1 or 0.