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Mathematics

Linear Algebra 10 minutes a day, complete in a month

Master the linear algebra content required for AI/deep learning by investing 10 minutes a day and completing it in one month.

(4.6) 5 reviews

77 learners

Level Basic

Course period Unlimited

  • jhim21
벡터
벡터
행렬분해
행렬분해
최적화
최적화
이론 중심
이론 중심
Linear Algebra
Linear Algebra
Procession
Procession
Deep Learning(DL)
Deep Learning(DL)
벡터
벡터
행렬분해
행렬분해
최적화
최적화
이론 중심
이론 중심
Linear Algebra
Linear Algebra
Procession
Procession
Deep Learning(DL)
Deep Learning(DL)

What you will gain after the course

  • Focus on studying only the core contents necessary for AI/deep learning

  • The parts that require mathematical theory are detailed.

  • Use specific examples to explain the theory in your head

Multidimensional Data Representation: Various data, such as images, text, and voice, are represented as multidimensional vectors. Linear algebra is essential for handling and transforming this multidimensional data.

Image Processing: In computer vision, images are represented as matrices. Matrix operations are used to transform and filter images, which are primarily used in convolutional neural networks (CNNs).

Linear transformations: Machine learning models, such as neural networks, primarily use linear transformations (matrix multiplication) to transform and process input data. Linear algebra provides tools for effectively handling these transformations.

Matrix Decomposition: Linear algebraic techniques such as singular value decomposition (SVD) and eigenvalue decomposition are used in dimensionality reduction techniques such as principal component analysis (PCA) to help extract important features.

Optimization problems: Optimization problems commonly used in machine learning are based on linear algebraic concepts. For example, parameter updates to minimize a loss function involve matrix differentiation and gradient descent.


Studying the above topics requires a significant investment of time and effort. Even implementing the programming itself, if you want to demonstrate something immediately, requires significant time . If you decide to pursue graduate school, you'll often find yourself struggling with math.

I majored in mathematics and spent many years researching and studying with engineering students at an engineering school. I've thought a lot about how to make mathematics easier to learn, but still learn in a mathematical way.

So, in this lecture , we chose to study the theory by solving specific examples and using them.

And with so much content, you can often feel overwhelmed before even starting. I've created a curriculum that's both accessible and packed with essential content.

Although I am busy, I have tried to consistently invest 10 to 20 minutes a day to keep up.

Recommended for
these people

Who is this course right for?

  • Machine learning, deep learning, computer vision, computer graphics, and engineering people

  • I also recommend it to those who studied liberal arts.

  • I also recommend it to people who lack basic math skills.

Need to know before starting?

  • The will to do it is essential

  • People who can invest consistently for a month

Hello
This is

212

Learners

9

Reviews

7

Answers

4.7

Rating

4

Courses

박사 졸업 후 5년 정도 Computer vision를 공부하고 가르치는 계기가 돼서

지금까지 수학전공과 공학이론을 연결한 공부들을 하고 있습니다.

전문분야(공부 분야)

전공: 수학(Topological Geometry), 부전공(컴퓨터 공학)

현) 3D Computer Vision(3D Reconstruction) , Kalman Filter, Lie-group(SO(3)),

Stochastic Differential Equation 연구자

현) 유튜브 채널 운영: 임장환: 3D Computer Vision

현) facebook Spatial AI KR 그룹 (수학전문위원)

출신학교

독일 Kile 대학 이학박사 (Topological Geometry & Lie-group 전공, 컴퓨터 공학 부전공)

중앙대 수학과 학사, 석사(Topology 전공)

경력

전) 대성그룹 자회사 두비비젼 CTO

전) 중앙대학교 첨단영상 대학원 연구교수(3D Computer Vsion연구)

저서:

최적화이론: https://product.kyobobook.co.kr/detail/S000200518524

링크

유튜브: https://www.youtube.com/@3dcomputervision

블로그: https://blog.naver.com/jang_hwan_im

 

 

 

 

 

 

Curriculum

All

31 lectures ∙ (5hr 42min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

5 reviews

4.6

5 reviews

  • ilwoongson8186님의 프로필 이미지
    ilwoongson8186

    Reviews 1

    ∙

    Average Rating 5.0

    5

    61% enrolled

    It's easy and fun!

    • lsk2128607님의 프로필 이미지
      lsk2128607

      Reviews 1

      ∙

      Average Rating 5.0

      5

      32% enrolled

      I took the course in a subject that I really needed, so it was efficient and the lecture content was very good.

      • dongjunkang8203님의 프로필 이미지
        dongjunkang8203

        Reviews 1

        ∙

        Average Rating 5.0

        5

        100% enrolled

        • taelimsong8179님의 프로필 이미지
          taelimsong8179

          Reviews 1

          ∙

          Average Rating 5.0

          5

          32% enrolled

          • jaewonchang8043님의 프로필 이미지
            jaewonchang8043

            Reviews 1

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            Average Rating 3.0

            3

            100% enrolled

            $42.90

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