인프런 - 라이프타임 커리어 플랫폼

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

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

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 the fundamentals of integration of multivariable functions.

In this course, you will learn the basics of optimization theory for multivariable functions and acquire a general understanding of vector functions.

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.

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.

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

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.

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.

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!

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.

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.

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

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.

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

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.