Inflearn - Lifetime Career Platform

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

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.

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.

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

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

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

This is an in-depth linear algebra course for engineering majors in fields such as Machine Learning, AI, Robotics, and Computer Vision. It is recommended for those who wish to study linear algebra in depth. While explaining as simply as possible, it covers advanced topics through selective focus and concentration.

Time Series: Become a Data Analysis Expert! Let's be analysts strong in theory & practice!

This course is a hands-on program for practicing the fundamentals of machine learning mathematics and statistics using Python. While machine learning and deep learning require programming skills, a mathematical background is necessary to understand the underlying principles. Through this course, you can step-by-step master the foundational mathematics required for artificial intelligence.

This course is a hands-on program for practicing the fundamentals of machine learning mathematics and statistics using Python. While machine learning and deep learning require programming skills, a mathematical background is essential to understand the underlying principles. Through this course, you can step-by-step master the foundational mathematics required for artificial intelligence!

Anyone who likes math, raise your hand! Anyone who wants to learn probability and statistics, raise your hand!

Attention to those who want to study stocks! But, are you studying stocks without knowing financial engineering? Shall we learn how to properly make money through financial engineering, starting from a solid foundation?

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.

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.

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 calculus at a first-year university level. In particular, it focuses on the integration of single-variable functions, allowing you to master various integration methods and technical approaches. As applications of integration, we will cover problems such as volume and surface area. You will also learn numerical integration methods using Python coding.

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.

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

It's an undeniable fact that mathematics is essential for game developers. Instead of excessively deep traditional math lectures, learn all the mathematical techniques you can use right away!