When we drive, we use our eyes to decide where to go. The lines on the road that show us where the lanes act as our constant reference for where to steer the vehicle. Naturally, one of the first things we would like to do in developing a self-driving car is to automatically detect lane lines using an algorithm.
I applied for the Self-Driving Car Nanodegree, and I have got accepted in the July 2017 cohort!
A short explanation would be:
“Machine learning is a type of artifical intelligence (AI) that provides computers with the ability to learn without being explicitly programmed.”
Using algorithms that iteratively learns from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look. They learn from previous computations to produce reliable, repeatable decisions and results.
Coming from an engineering degree where it lacked programming skills, so I knew I had to get more experience before I embark on this journey.
My name is Rameez Khan, I have graduated from the University of Leeds in BEng Chemical and Nuclear Engineering. I worked at Schneider Electric for 2 years. On 26th May 2017, I decided to leave my job and pursue to become a Machine Learning Engineer.