1. The course is not yet complete. (This is the biggest problem.) - That's probably why it's unlimited. Hmm.. - Wow~ When I gave it 1 star, it wouldn't save. I have no choice but to give it 2 stars. 2. The teaching quality is excellent. 3. The content up to lecture 132 (chap8.1) covers high school geometry, matrices, and vectors. - If you paid good attention in high school geometry class, you don't really need to take this.

1. The teaching is excellent. 2. The content is at a basic high school level. - If you've studied high school 1st and 2nd year math reasonably well, you probably don't need to take this. - This is a recommended lecture for those who gave up on math in high school.

Thank you for the detailed explanation~

It's great because it's a lecture where you can learn the basics.

Your teaching skills are really good. I'm getting so much help!! Thank you

Please film the next episode too 😭😭 It's so good

This is a highly recommended class where you can learn about vectors in great detail.

I was able to accurately understand the virtual environment setup using conda. I could feel that the instructor carefully structured the step-by-step configuration in this lecture.

Due to circumstances, I wasn't able to study properly during my school years, and after somehow managing to get a job, I started studying because I wanted to create a better life for myself. English, math, and programming are all very difficult, but I felt like I really wanted to complete them at least once. Thank you so much for such an excellent lecture. I'm enjoying it so much that I'd like to greet you after completing all the lectures!

I've currently listened to up to lecture 9, and I'm very satisfied. At first, typing the code 10 times each... takes quite a long time, but I think it's a necessary process. Since I'm not used to pressing English letters or shift keys while typing operators, it takes time, but I think getting familiar with these things will help me code faster later on. And you provide excellent motivation as well. Rather than just following along with Python typing, you teach using practical formulas that will actually be used in deep learning later, such as variance, mean, standard deviation, and other things like L2 norm. Although I don't understand them well yet, I think they'll be a great help later. There are many other course reviews I'd like to leave, but I need to hurry to the next lecture, so I'll end here. I'll come back to leave another review when I get the chance after finishing all the lectures! Thank you for providing such a good course at an affordable price!