Stanford ML Week 2: Linear Regression with Multiple Variables

It’s been a tough week, I needed some time to comprehend the formulas and get used to it. I am not alone in this, surprisingly phd student also had a hard time with this course. Last week, we learnt how to find a best fit line for graph with one variable, this week, we find … Continue reading Stanford ML Week 2: Linear Regression with Multiple Variables

Stanford ML Week 1: Linear Regression with One Variable

This is the start of Stanford’s Machine Learning instructing by Andrew Ng. Andrew Ng is the director of Stanford AI lab and the cofounder of Coursera where I will be getting the course resources. Notes is not provided in Coursera version of the course, but it can be found at Stanford’s website. Introduction Machine learning grew out … Continue reading Stanford ML Week 1: Linear Regression with One Variable