Ksetyadi's [B]Log

Linear Algebra is back.

This week, I had an opportunity to repeat something what I’ve left behind. I still remember years ago sitting down in a class with a pen and paper ready just to write everything the lecturer wrote on the board. I thought it was 2001 when I was taking a class named Elementary Linear Algebra.

Back in time when this subject was one of my favorites because of the lecturer was, of course, one of my favorites too, beside him and her. I always taking the first row with my friends. I even still remember how she explained matrix and vectors in an elegant way. Everything was elegant at that time but the bad news was, I only got B.

Now, I have a second chance to meet this subject again. But now I face a different lecturer. I face a totally different lecturer (what I mean with different is that all about the language, mindset, and background). Professor Andrew Ng, the lecturer, is one of the Stanford University’s researchers interested in Artificial Intelligence, Machine Learning, and Robotics. He has many awesome publications about his interesting fields.

Back to the Linear Algebra. I (and another students) faced a deadline submission this week. Linear Algebra quizzes was, back then, never be easy. It such a combination between Algebra and (light) Analysis. But now I face it with a different set of mind and desire. I face it with a different explanation from Prof. Andrew Ng. This time, I have a full of understanding on what Linear Algebra within the Machine Learning subject.

The quizzes will always be scary but this time I took it with a light feeling that I will be okay taking that kind of quizzes. I’ve got 5.0 from 5.0 for every different set of questions and I think that this is because of I was taking the same class years ago, in 2001.

I fall in love with Mathematics. Again.