Probability and Statistics Basics

Even I, who has an IQ of two digits and adult ADHD, was able to complete the course without difficulty. It explains the basic concepts of probability theory well. It's good because I can listen to it again whenever I need to! Thank you for making such a good lecture.

I finished the linear algebra lecture, and since Inflearn was on sale, I bought it right away. I haven't taken many lectures yet, but since the beginning of the lecture covers all the contents, I checked the contents and it really has everything I wanted. The only regret is that since I'm studying artificial intelligence, I should have focused more on Bayesian statistics? However, I know very well that it's not easy to cover both mathematical statistics and Bayesian statistics in one lecture. Therefore, if there's an opportunity, I think it would be great if Bayesian statistics were added later. I'm so satisfied with each lecture, so I bought one each of Introductory Vector Calculus, Differentiation, and Integration because they were on sale. Thank you for the great lecture.

This is a great lecture that explains basic concepts that are easy to miss. The explanations are also very easy to understand. It's a bit disappointing that the lecture materials and textbook are in English, but it's written in very easy English, so it's less burdensome than you might think. I think this is a very good lecture for learning the basics of probability and statistics. One drawback is that each lecture is too long. Personally, I watch the lectures in 20-minute segments based on the chapters of the textbook, and then alternate between the textbooks. I think it would be less burdensome if the lectures were divided into segments. Other than that, I really like it. I also hope that advanced statistics lectures are added.

Oh... You're back, Beomhee! I'll try my best to run~!!

Although my understanding is a bit vague, this is a lecture I would like to recommend.

The learning content is good.

Thank you so much for helping me relearn probability and statistics.

First of all, thank you for making such a good lecture :) I bought all of Cho Beom-hee's lectures and couldn't finish them before, but this time, thanks to the study, I was able to finish the quality lectures in 6 weeks. (Study is highly recommended) Thanks to the lectures, I was able to learn about probability theory. I learned that probability theory must come first to learn statistics, and I learned about normal distribution, t-distribution from AI, and the formulas in the papers that were confusing just by looking at them, and I was able to understand their usefulness. I was very new to it, but it was easy up to 2.1 part 1, but after that, it was not easy for me to understand the relevant parts because they were difficult to understand just by listening to them once. However, since the lecture materials were provided and the lectures were explained kindly, I was able to understand it more by listening to them repeatedly. It may be burdensome to watch the lectures at once because they are 40~90 minutes long, but since I studied, it was an advantage to progress within a set range. However, this was possible because I had enough time, so I thought it would be burdensome for office workers to watch during commuting hours. If you make the lectures that come out later by dividing them into sub-topics within one lecture, there are many lectures that are broken up into 20 minutes or less, so students who watch during spare time will be able to watch the lectures without much burden. The PPT materials were also provided, so it was good to use for studying. I recommend the lecture to others, and I recommend that you study even if you have some time. In our case, we conducted it online, and after dividing the study material in advance, we randomly selected presenters for each sub-topic on the day of the study. If you make other math lectures when you have time, it will be more helpful for improving math skills for more people. Thank you again for making great lectures:) ++ The Q&A is always kind and quick.