線形代数学概論

I am leaving a review after taking the course twice and once in reverse. For reference, I took 'Linear Algebra Using Python - Using SciPy' before taking this course. If you master the content of this course, you will be able to do the following two things. - 1. Understand the mathematical background of the 'Linear Algebra Using Python - Using SciPy' course The course above can teach you how to use various functions even if you do not have a good understanding of linear algebra, but if you listen to it after understanding the content of the linear algebra course, you will be able to better understand why the function is used. - 2. Understand the 'MIT 18.06 Linear Algebra, Spring 2005' course on YouTube You can easily watch most of the course. Looking back, I think the reason I didn't understand Professor Strang's lecture at first was because he taught it so intuitively that it was difficult. After taking Professor Cho Beom-hee's Introduction to Linear Algebra, I understood it well. Personally, I found the part explaining Matrix space and various applications in 'MIT 18.06 Linear Algebra, Spring 2005' a bit difficult, but I was able to enjoy the rest of the content. Thank you for the great lecture.

I'm writing this review after completing 75% of the course. I'm a liberal arts graduate who gave up on math. I'm taking this course because I want to go to graduate school for data analysis. It might be different for everyone, but it was so difficult for me that I think I replayed each lecture about ten times. Each lecture is relatively short at 30-40 minutes, but there were times when I spent almost an entire day trying to understand just one lecture. Honestly, no matter how well the instructor explains it, the linear algebra content itself is so abstract... In the end, I had to go back and review the lecture materials on my own and replay the instructor's explanations several times. When I first listened, I thought "What on earth is he talking about?" but after replaying it about ten times, I could understand what he was saying. I barely, barely finished up to eigenvalues and vectors. I really thought I was going to throw up. Now that I'm finishing this, I have this baseless confidence that I'll be able to take any math course. However, the lecture slides have a black background... which made it hard to take notes, so that was quite disappointing.

I'm in tears listening to SVD... It's just a great class... ;ㅁ;

For those who are thinking about it..... I recommend it While studying machine learning, I found a linear algebra lecture and ended up taking it... I finished it today~ㅋㅋ First of all, it's fun. If you ask a question by email, they answer quickly (they really answer quickly, they're awesome~) I've taken many other domestic/international online lectures, but this is the cleanest. Please make lots and lots of probability theory, optimization, etc.!!!:)

I won't say much. This is the best lecture.