Math doesn't give up on you. So don't give up either.
Free humanity from mathematics 😎
I want everyone who uses mathematics to learn it properly. The "Free Humanity from Mathematics" project offers specialized instruction in every subject of mathematics, one by one. We'll teach you more in-depth and with more practice than what you'd learn in college, turning you into a math genius.
In this lecture, we will cover differentiation, which is an essential subject in all subjects and fields where mathematics is used .
📢 Please check before taking the class!
This lecture is a serial lecture, and lectures will be uploaded continuously until May 29th.
What's special about this course 🔆
1) Derivation of all derivatives To fully practice differentiation, we will derive the derivatives of all functions frequently used in engineering.
2) Solving practice problems Let's solve various practice problems that we prepared ourselves.
Learn this 📚
To learn differentiation thoroughly, we will study the following eight chapters:
Hello. I was a dropout, but I am currently working as an ML developer.
I felt that I needed math to do well in AI. While I was thinking about whether I should buy and solve the special lecture for the college entrance exam again, I came across Professor Shin Kyung-sik's "Basic Algebra" lecture.
It was easy to build up the overall foundation, and it was also easy to review only the necessary parts. The best part was that it was really easy to understand because it was likened to computer engineering. Of course, there were many parts that took a long time to understand.
Next, I found out that he also produced a calculus lecture, so I bought it right away. As expected, it was good that he explained it in an easy-to-understand way, and he divided the chapters by concept, so it was good to study briefly during my commute to and from work.
I was confused because the lecture materials were in English. However, when developing, you have to use a lot of English, and to use ML, you have to look up a lot of papers. Since he used English, I could immediately tell that "That's what I saw in the lecture" especially when understanding ML methods and papers.
I thought it was a good decision to buy the lecture, and I bought the linear algebra lecture right away. Looking at Professor Shin Kyung-sik's profile, there are no lectures on integration and statistics yet. If you make one, I will buy it right away. He also uploaded a lecture on signal processing on YouTube, which was very helpful. I am also looking forward to the NumPy lecture that will be released soon.
Hello!
I'm really glad that the lecture was helpful!
It's not easy, but I think it's really great that you chose to walk the path!
I will try to provide other math lectures with good quality as soon as possible in the future😃
It was a great help that you explained it step by step in an easy way. Could you tell me a rough schedule of when the integral part and linear algebra lectures will open?
Hello!
Thank you for liking the lecture.
Linear algebra is currently being recorded.
However, since the lecture is long, it is expected to take about a month.
Integral will be prepared after the linear algebra and probability lectures are finished~