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Mathematics

Linear Algebra Leading to Machine Learning/Deep Learning

Covers essential linear algebra for Machine Learning/Deep Learning research.

(4.5) 43 reviews

638 learners

Level Beginner

Course period Unlimited

  • dlbro
3시간 만에 완강할 수 있는 강의 ⏰
3시간 만에 완강할 수 있는 강의 ⏰
Linear Algebra
Linear Algebra
Machine Learning(ML)
Machine Learning(ML)
Deep Learning(DL)
Deep Learning(DL)
3시간 만에 완강할 수 있는 강의 ⏰
3시간 만에 완강할 수 있는 강의 ⏰
Linear Algebra
Linear Algebra
Machine Learning(ML)
Machine Learning(ML)
Deep Learning(DL)
Deep Learning(DL)

Reviews from Early Learners

What you will gain after the course

  • Mathematics required for Machine Learning/Deep Learning

  • The Relationship Between Linear Algebra and Machine Learning

  • Essential mathematical expressions

Leading to machine learning/deep learning
Learn linear algebra and machine learning together 📖

Hello, I am Deep Learning Ho-hyung, who currently runs a YouTube channel related to deep learning/machine learning .
Based on knowledge of mathematics/data analysis, experience with numerous deep learning/machine learning projects, and experience as a research engineer
We will point out the contents that you absolutely must study.

Knowledge of mathematics and machine learning/deep learning
Are you still separated?

artificial neural network
 Manufacturing, autonomous vehicles, healthcare, biotechnology, robotics, etc.
It is a powerful artificial intelligence technology that is being applied in a wide range of fields.

In fact, the number of submitted papers is increasing every year, and many universities around the world, including Korea, are establishing AI-related departments, and the industry is investing heavily in them. This course is a mathematics course designed to help you study deep learning/machine learning in line with this trend.


This course covers the linear algebra required for studying deep learning/machine learning/data analysis .
Have you ever thought about whether you should study "math" while studying artificial intelligence or data analysis?
Or have you ever struggled to understand machine learning algorithms due to a lack of basic math skills?
As a math/data analysis major, I 'll tell you 'where' and 'why' math is used.

What you will learn in this course ✏️

Are you still just using libraries without understanding the algorithms?
Model optimization and tuning require mathematical understanding.
In this lecture , we will discuss the basics of linear algebra and machine learning.

We'll answer your questions in advance 🙋🏻‍♂️

Q. Can non-majors also take the course?

Yes, of course. You can take this course regardless of your major!

Q. What are the benefits of learning linear algebra?

All data is converted into matrix form and operations are performed on it.
Therefore, if you know the linear algebra that can handle matrices, it will ultimately be easy to process data.

Q. Are there any special advantages to this course?

As a former mathematics/data analysis major, I've designed these lectures to convey essential concepts in a simple and concise manner, making them accessible even to those who struggle with math. Furthermore, rather than focusing on mathematical proofs, you'll learn how mathematics is used in real-world data analysis and artificial intelligence, developing a comprehensive understanding.
If you're interested in getting started with deep learning, check out our lecture on understanding deep learning concepts leading to practical artificial intelligence .


Recommended Roadmap 🚩

▲ [Introductory to Beginner] Quick and Reliable Introduction to Deep Learning (Click)

Recommended for
these people

Who is this course right for?

  • For those new to Machine Learning, Deep Learning

  • Those lacking math basics

  • Curious about Linear Algebra's use in ML/DL?

Need to know before starting?

  • Passion to do

Hello
This is

5,080

Learners

392

Reviews

261

Answers

4.7

Rating

7

Courses

안녕하세요.

딥러닝/머신러닝 관련 유튜브를 운영하는 딥러닝 호형입니다.

수학/데이터 분석을 전공하고 다수의 딥러닝 프로젝트를 완료하고 수행하고 있습니다.

 

머신러닝, 고급 머신러닝, 딥러닝, 최적화 이론, 강화 학습 등의 인공지능 내용과 선형 대수학, 미적분, 확률과 통계, 해석학, 수치해석 등의 수학 내용까지 여러분들과 공유할 수 있는 지식을 가지고 있습니다. 

 

모두 만나서 반갑습니다!

 

* 관련 이력

현) SCI(E) 논문, 국제 학회 발표 다수

현) 인공지능 관련 대학교 자문 다수

전) K기업 전임 연구원 - 데이터 분석 및 시뮬레이션: 신제품 개발, 성능 향상, 신기술 적용

"딥러닝을 위한 파이토치 입문" 저서 (세종도서 학술부문 2022 우수도서로 선정)

 

 

 

 

Curriculum

All

24 lectures ∙ (3hr 4min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

43 reviews

4.5

43 reviews

  • devshin91님의 프로필 이미지
    devshin91

    Reviews 5

    ∙

    Average Rating 5.0

    5

    67% enrolled

    I'm listening. Please explain it so I can understand.

    • dlbro
      Instructor

      Thank you for your course review :) Study hard!!

  • yepsilondelta님의 프로필 이미지
    yepsilondelta

    Reviews 16

    ∙

    Average Rating 4.9

    4

    100% enrolled

    I think the explanation is too fast for beginners and basic concepts are omitted.

    • dlbro
      Instructor

      To avoid getting bored, I edited out even the breathing sounds to create a video without dragging out the class. If you felt that the lecture was going too fast, I recommend that you adjust the speed to listen to the lecture. If you have any questions, please leave them in the question section :) Thank you for your review!

  • son917473086007님의 프로필 이미지
    son917473086007

    Reviews 1

    ∙

    Average Rating 5.0

    5

    100% enrolled

    I just learned linear algebra for the first time and it seems to be well organized.

    • dlbro
      Instructor

      Thank you!! Good luck :)

  • templar님의 프로필 이미지
    templar

    Reviews 7

    ∙

    Average Rating 5.0

    5

    100% enrolled

    Thank you for the great lecture. I hope it will be helpful to everyone.

    • dlbro
      Instructor

      thank you!!

  • hyunahn23님의 프로필 이미지
    hyunahn23

    Reviews 2

    ∙

    Average Rating 5.0

    5

    100% enrolled

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