Inflearn - Nền tảng Nghề nghiệp Trọn đời

This course covers introduction to linear algebra, and you can master introduction to linear algebra through the lectures.

This course will provide students with a solid foundation in the fundamentals of differentiation in vector calculus (Calculus 2).

In this course, you will learn how to solve various matrix calculation related problems using Python's SciPy library. Even if you do not know Python or have only a little prior knowledge, you will be able to solve the given problems.

Math-based thinking skills that develop the ability to think for yourself! Are you working overtime today? If so, I hope that through this course, you can improve your mathematical thinking skills and perform your work efficiently.

You can understand the theoretical operation principle of the Kalman Filter through easy examples.

For those of you who are having a hard time with college statistics, a senior who was in the same position will share his know-how. Conquering basic statistics using R programming

For those who are interested in game development and know that math is important, but don't know what math to study, I've prepared a lecture that provides a general explanation. I want to talk about the various maths used in the game production process.

The core of all AI/deep learning is ultimately optimization. Of course, optimization theory is not only needed in AI/deep learning. Computer vision, robotics & control systems, financial engineering & quant, data science, signal processing... Probably no matter which field you study, optimization theory is one of the topics you will inevitably encounter when you go deeper. This lecture systematically covers everything from basic mathematical theory to in-depth content. I believe it is by far the best optimization theory lecture offered in Korea.

This lecture is designed to provide a foundation in middle and high school mathematics for adults who gave up on math during their school years but are now looking to tackle engineering mathematics.

Attention to those who want to study stocks! But, you are studying stocks without knowing financial engineering? How about learning how to make money properly through financial engineering from the basics?

This course will help you build your knowledge of advanced integration of multivariable functions.

If calculus is too difficult? From the basics, step by step! Covers university-level calculus.

How should we integrate the results of different diagnostic methods when they are different? Are there any diagnostic methods that are unnecessary among the various diagnostic methods? We will provide answers to these questions.

This lecture is a lecture that only extracts the core of set theory. Starting with this lecture, you can start various mathematics such as linear algebra and calculus without any difficulty.

Statistics learned in school, was it too hard to understand? No matter how much you listened to the explanation, statistics were confusing, but we will help you understand them. If you implement them one by one by hand using Excel, you will understand statistical concepts that you didn't understand! A new experience that makes boring statistics fun! We will give you a gift. :)

Were you a math-phobe during your school days? It's said that math is important in AI, but do you feel lost on how to approach it? The reason math is important in AI is because math is used in the computational processes of AI (Machine Learning and Deep Learning). For easy explanations of differentiation, linear algebra, and probability and statistics to understand AI, it is structured with simple explanations using graphs (coordinates) rather than mathematical derivations.

This course covers university-level first-year calculus. We focus intensively on single-variable function differentiation and learn various differentiation methods and formulas. As practical applications of differentiation, we select and study cases such as linear approximation, function increase and decrease, and optimization problems.

Let's build a foundation of MATLAB and apply and understand the basic concepts of programming!

In this course, you will learn the core elements of programming using Scratch, a programming language created by MIT (Massachusetts Institute of Technology) for teaching programming.

Learn why Propensity Score Matching analysis is so popular and what its advantages are. Also, use it to easily create tables and graphs that can be used immediately when submitting a paper.