Machine Learning That Even My Mom Can Do (Basic Theory)

Name: Machine Learning That Even My Mom Can Do (Basic Theory)
Price: 14300 KRW
Rating: 4.9 (16 reviews)

The first step in learning AI: We've created the perfect curriculum for AI beginners! The first step: getting familiar with AI foundational theory! Learn basic machine learning concepts with various examples and take quizzes to review the theory!

(4.9) 16 reviews

133 learners

Level Beginner

Course period Unlimited

Machine Learning(ML)

Scikit-Learn

Machine Learning(ML)

Scikit-Learn

Reviews from Early Learners

4.9

5.0

펭귄

27% enrolled

Is the instructor's mother a Seoul National University professor?

5.0

Sangwoo Cho

18% enrolled

I was going crazy not knowing what I was even coding, but I feel so relieved now. When will the deep learning lectures be uploaded??? Please make them quickly 😊😊

5.0

변소현

55% enrolled

I thought "machine learning" would be difficult, but after listening to the theory lecture, I immediately understood what kind of technology it is and how it works. The lecture explained the overall structure in a way that it stayed in my head, and clearly explained how each concept differs. I'm excited for the practical training now that I understand machine learning!

What you will gain after the course

⭐ What is Machine Learning?
⭐ Understanding the operational principles and evaluation metrics of classification, regression, clustering, and recommendation system models
⭐ Completely master the fundamental theories with diverse examples and animation!
⭐ Check what you've learned with a pop quiz!

Theory is the stepping stone for various code applications.
As a non-major, I won the grand prize and excellence award in contests, the first prize in competitions, and the grand prize and excellence award for projects in just 5 months .
You need to know the principles to be able to apply them to various situations and data.
When learning about artificial intelligence for the first time, various terms are thrown around, and the learning order felt unfamiliar while learning according to the curriculum at the institution . We thought a lot about it and modified and arranged the order so that even beginners can follow along with as little inconvenience as possible .
Rather than simply explaining mathematical and statistical concepts, when related references are made to models or indicators, the necessity of the corresponding formula or concept is mentioned, making it much easier to understand and convince, making learning smoother.

We use only the minimum mathematical and statistical concepts necessary for understanding, and even then, we have organized them all into examples for easy understanding.
By using various visual aids and animations, we have minimized unnecessary lines of text in the material to make it less boring even though it is a theoretical lecture.
Those who do not know about machine learning will be able to learn systematically and broadly without feeling burdened, and those who know about machine learning will be able to establish the concept accurately once again.
This is a basic course that covers almost all parts of machine learning that can be intuitively understood, and concepts such as SVM, ROC-AUC, and dimensionality reduction natural language processing (NLP) are covered in the advanced machine learning theory.
Since all lectures focus on future deep learning lectures, we recommend this course to those who want to build a solid foundation from machine learning .

Recommended for
these people

Who is this course right for?

⭐ AI Basics
⭐ People who want to study artificial intelligence but don't know where to start
⭐ People who have difficulty completing lectures due to high barriers to entry caused by formulas and complex terminology
⭐ People who want to study with a systematic curriculum
⭐ Those who want to take machine learning concept and theory lectures

Need to know before starting?

(No prior knowledge of Python or data tools is required for the theory lectures.)

Hello
This is yc

215

Learners

Reviews

Answers

4.9

Rating

Courses

Because I am a non-major, I understand non-majors well.

I will do my best to help you from a non-major's perspective.

Completed 5th and 6th cohorts of the Artificial Intelligence Academy

Grand Prize in Time-Series Agricultural Product Price Prediction Project

1st place in Kaggle competition (out of 200 participants)

Excellence Award for Object Detection and RAG-based Mock Interview Project

Grand Prize at the AI-based Social Problem Solving Contest hosted by the Korea Artificial Intelligence Association

Excellence Award at the Honam ICT Innovation Digital New Technology Contest

Curriculum

All

22 lectures ∙ (4hr 11min)

Section 1. Must watch

3 lectures ∙ (22min)

1. Machine Learning 0th Lecture
11:31
2. Machine Learning 1st Lecture (Terminology)
11:19
3. 0th class note test

Section 2. Machine Learning Classification

6 lectures ∙ (1hr 29min)

4. Machine Learning 2-1 (Concept and Application of Classification)
08:54
5. Machine Learning 2-2 (Decision Tree)
16:42
6. Machine Learning 2-3 (Ensemble)
31:28
7. Machine Learning 2-4 (Machine Learning Verification Method)
16:04
8. Machine Learning 2-5 (Classification Evaluation Indicators)
16:08
9. Classification Note Test

Section 3. Machine Learning Regression

5 lectures ∙ (1hr 7min)

10. Machine Learning 3-1 (Concept and Application of Regression)
18:09
11. Machine Learning 3-2 (Simple Linear Regression, Multiple Linear Regression, Multiple Regression)
17:04
12. Machine Learning 3-3 (Regression Evaluation Metrics)
22:57
13. Machine Learning 3-4 (CART)
09:49
14. Regression Note Test

Section 4. Machine Learning Clustering

5 lectures ∙ (31min)

Section 5. Machine Learning Recommendation System

3 lectures ∙ (39min)

Published: 01/05/2025

Last updated: 08/06/2025

Reviews

All

16 reviews

4.9

16 reviews

gksmfqlc0750
Reviews 4
∙
Average Rating 4.8
03/10/2025
Edited
5
100% enrolled
Please teach in an easy-to-understand manner, just like the lecture title! There's even a pop quiz after each chapter, which helps me remember things better. Above all, I had a vague understanding of machine learning theory and concepts, but the terminology and the need to look up data every time didn't resonate with me, so it didn't stick in my head. But through this lecture, I'm understanding things I couldn't before, and seeing things I couldn't see...it's amazing. Thank you 😢😢😢 I'm willing to take advanced theory and practical training courses as soon as they come out!!
- yc
  Instructor
  03/10/2025
  Thank you for the great review! If you review the theory thoroughly and then take the practical lessons, you'll see things you didn't see before in the practical sessions as well! Keep up the good work! 🔥
sohyun5051
Reviews 2
∙
Average Rating 5.0
03/18/2025
5
55% enrolled
I thought "machine learning" would be difficult, but after listening to the theory lecture, I immediately understood what kind of technology it is and how it works. The lecture explained the overall structure in a way that it stayed in my head, and clearly explained how each concept differs. I'm excited for the practical training now that I understand machine learning!
- yc
  Instructor
  03/18/2025
  Thank you for the positive feedback! Solidifying the theory with practical exercises in that section will help you gain a deeper understanding. Keep up the great work until the end of the course! 🔥
penguinhing
Reviews 12
∙
Average Rating 4.1
08/30/2025
Edited
5
27% enrolled
Is the instructor's mother a Seoul National University professor?
- yc
  Instructor
  08/30/2025
  My mother has always been someone who works hard.. There's nothing that can't be achieved if you put in the effort!!🥹
- penguinhing
  08/30/2025
  😊😊 Just kidding! Thank you for providing the lectures!
digerati09
Reviews 2
∙
Average Rating 5.0
02/18/2026
5
100% enrolled
kfqsangwoo9149
Reviews 1
∙
Average Rating 5.0
03/21/2025
5
18% enrolled
I was going crazy not knowing what I was even coding, but I feel so relieved now. When will the deep learning lectures be uploaded??? Please make them quickly 😊😊
- yc
  Instructor
  03/23/2025
  Thank you for the positive feedback! We are planning a deep learning course as well, so please stay tuned 🔥

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Machine Learning That Even My Mom Can Do (Basic Theory)

Reviews from Early Learners

4.9

What you will gain after the course

📢 This lecture is for non-majors.

Artificial intelligence, solved very easily!

I have excluded statistical and mathematical concepts as much as possible!

Theory lectures, don't be afraid!

Machine Learning That Even Our Mom Can Do (Basic Theory)

Artificial Intelligence (AI)