Machine Learning

Machine Learning Week 3: Hypothesis representation for Classification problems

Sigmoid Function or also called Logistic Function is one of the functions that can be used to represent out hypothesis for Classification problems(Binary Classification to be exact)

Machine Learning Week 3: Classification using Logistic Regression Intro

Although the name of the algorithm is logistic regression, the value prediction has nothing to with regression as in the case of linear regression. Logistic regression is one of the algorithms used for…

Machine Learning Week 2: Polynomial Regression

When there are multiple features, to better fit our hypothesis function and cost function graph we can combine multiple features into a single one.

Machine Learning Week 1: Linear regression and Cost function

Things are starting to get a little mathematical from today and subject of linear algebra is catching up.

Few term definitions:

1. Training Set: It is the set of data that is…

Machine Learning Week 1: Unsupervised Learning

Today is the second day of my course Machine Learning by Stanford University on Coursera. It was an introduction to Unsupervised learning.

Unsupervised learning is the type of learning in which the machine is given a lot of…

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…