인프런 - 라이프타임 커리어 플랫폼

This lecture covers the basics of how the virtual world that makes up a game is created with mathematics. Through basic mathematics, you will understand the principles of game engine composition and learn practical game mathematics that makes up a three-dimensional space.

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.

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.

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.

Understand machine learning concepts, AI learning principles, and mathematical principles for model implementation to fully utilize deep learning!

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

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

This course is a course that practices the basics of machine learning mathematics and statistics using Python. Machine learning and deep learning require programming skills, but they also require a mathematical background to understand the principles. Through this course, you can gradually learn the basic mathematics required for artificial intelligence.

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.

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.

This course is for those who want to study machine learning but lack statistical knowledge.

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

This course is a practical one that covers the fundamental concepts of machine learning mathematics and statistics using Python. Machine learning and deep learning require programming skills, but also a mathematical background to grasp their principles. Through this course, you can steadily master the foundational math needed for AI!

This course is ideal for those who want to focus on theory and context rather than practice, aiming to organize their knowledge of deep learning in depth and grasp the big picture. It makes the mathematical and statistical foundations of deep learning easy to understand and provides intuitive interpretations of key modern models—such as AutoEncoder, GAN, Transformer, and AlphaGo—from a developer's perspective.

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?

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.

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

Dynamic Programming That's Untouchable, From Math to Key Elements to Look for in Problems, Complete Summary from Basics to Practice

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. :)