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!

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

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

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

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.

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.

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. :)

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 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.

Develop a deep understanding and intuition for calculus. Solve problems and implement algorithms by hand and in Python.

This course is designed to help those who want to deeply organize deep learning and grasp the big picture by focusing on theory and context rather than hands-on practice. You can easily understand the mathematical and statistical background that forms the foundation of deep learning, and gain an intuitive interpretation from a developer's perspective of the principles behind major modern deep learning models such as AutoEncoder, GAN, Transformer, and AlphaGo.

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.

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.

Theory, numerical approximations, intuition, and visualization in integral calculus. Enhance your math-coding skills.

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.

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.