I am currently working as a backend developer. At first, I hesitated to take the course, but after taking it, I think I made a good choice. I have always been interested in ML engineers, so I took the course. Of course, my recent interest in artificial intelligence was also a decisive factor in taking the course. First of all, the vague concepts I learned in college were explained in an easy way, so I was able to understand them clearly. In particular, the formulas were explained easily during the theory lecture, so I was able to understand the formulas well. In particular, it seems to be the perfect course for people like me who only have a basic, superficial understanding of ML. For reference, I had a hard time with my thesis when I was in graduate school. If this course had been available at that time, it would have been very helpful. If you are interested in graduate school artificial intelligence or need conceptual content when writing a graduate school thesis, I think it would be very helpful to listen to it at least once.