I haven't completed many courses to the end, but I did finish this lecture completely.

The appropriate use of metaphors was impressive. The metaphors that could help with understanding each part, along with content that was concise and easily divided rather than overly excessive information, made it easy to understand and was great.

It's really helpful because you explain in detail through practical examples, which helps me grasp the concepts while also learning practical applications that I can use right away.

Reinforcement learning isn't as hard as I thought. It was good that it was explained simply. It's good that even beginners can understand it. Thank you.

I had taken Multicore-nim's Reinforcement Learning for Programmers, and when a new reinforcement learning course became available this time, I decided to take it again. Since RL is such a challenging field, I had difficulty understanding it because I couldn't find a course that suited me. Multicore-nim's course was a ray of light for me in that situation. Now, seeing RL frequently mentioned in related research papers and technologies, I think I made a really good decision to take the course back then. This course is very helpful to me because it explains practical, real-world examples well. I don't think there's another RL course in Korea as good as this one, so I highly recommend Multicore-nim's course.

Listening to the lecture on technical analysis indicators (moving averages, MACD, RSI) During the lecture on stochastic RSI, it seems like there is a lag and the next step does not proceed. It is the 23-minute area. I cannot see anything after that area. Please note.

It's useful

Great!

The Binance API library has changed, so I spent a lot of time reinstalling and connecting it. It would be good if there were additional lectures. This alone is difficult and I have to study separately.

I will study hard.