It's easy to understand because you explained it with an appropriate analogy. And this person's illustrations are really cute.

Maybe because I'm a beginner, I'm curious about machine learning and AI, but I vaguely thought it would be difficult and I felt resistant. One of the goals of this lecture was to make machine learning-related news easier to understand, and that was exactly right. Whenever I heard news about AI, I always wondered what it was, but now I think I'm starting to get a feel for what machine learning is! In particular, the issues about the latest machine learning trends that you mentioned in each class were helpful. I think it's good content that anyone, including people who aren't in a development-related job like me, can easily listen to. (The PPT you drew yourself was also really cute...❤️) I enjoyed the great lecture. I recommend it!

This is a great lecture that can broaden your understanding of machine learning without difficult formulas and codes. When studying, it is very important to first know why you should study this, where the algorithm you are learning now is used, and what it is for in the end. I think this lecture is like a textbook that gives a big picture to ML beginners. I enjoyed the lecture, instructor 👍

I'm a non-major who doesn't know much about machine learning, but I liked how the teacher explained it in an easy way!

I enjoyed listening to it!

Even if you listen to it without knowing anything, you can understand it. You can draw the big picture of artificial intelligence. The lectures are so good that I'm going to take the coding test lecture as well. I was a dropout so I couldn't even touch the algorithm, but somehow I feel like I'll gain confidence if I listen to Giwon's lecture. Please continue to give us many good lectures! I'll set an alarm~

Thank you for the lecture. I think I was able to understand ML/DL easily.

I heard it well~~