AI Fundamentals Mathematics

Basic Mathematics for Artificial Intelligence!
Even non-majors and those who have given up can do it.

Lecture Topic

Basic Mathematics Differentiation Linear Algebra Probability and Statistics

Learn about differentiation, linear algebra, and probability and statistics, the mathematics essential for artificial intelligence. We've also included basic mathematics before differentiation for those with no prior mathematical background.
Rather than focusing on problem solving, the lecture focuses on principles that can be understood through various examples and illustrations.

Why should I take this class?

By learning basic AI mathematics, you can fully master the terminology and computational processes associated with AI (machine learning and deep learning). Furthermore, recent AI-related job postings show an increasing number of companies explicitly requiring prerequisite courses like probability and statistics, in addition to an understanding of algorithms.
In other words, by learning the basic mathematics of artificial intelligence, you will have the opportunity to approach and master mathematics without fear, and through this course, you will be able to solidify the foundation of artificial intelligence.

Section Introduction

Chapter 1: Basic Mathematics

• Before learning differentiation, linear algebra, and probability and statistics, we cover the basics of general mathematics.

Chapter 2: Differentiation

• Learn about (partial) differentiation required in the computational process of backpropagation.

Chapter 3: Linear Algebra

• Learn about the meaning of vectors and the space and operations using vectors.

Chapter 4: Probability and Statistics

• We'll explore why we need probability and statistics, and what the various terms that appear in them mean.

What you will gain from this course

Anyone can easily understand mathematical algorithms, and their wide range of applications is possible.

This course covers the basic mathematics for artificial intelligence, but by mastering the basic mathematics, you will be able to understand the algorithms of artificial intelligence .
In other words, if you are able to change jobs related to AI or are currently working in AI-related fields, various applications will become possible.

Lecture Features

A class faithful to various examples and graph principles

You might think of math as solving problems, but this course aims to help you understand the principles .
Therefore, you can learn math in a fun way with explanations using various examples and graphs (coordinates).

Expected Questions Q&A

Q: Can non-majors also take the course?
A: This is math for non-majors. Therefore, even middle and high school students can take this course to gain confidence in math classes. Of course, it's also for those who majored in math, but whose memories may be hazy due to the passage of time.

Q: Why should I learn basic artificial intelligence mathematics?
A: Fundamental mathematics of artificial intelligence is the foundation of AI. Without a thorough understanding of basic mathematics, understanding the algorithms used in AI can be difficult, so it's essential to learn it.

Q: Are there any special advantages to this course?
A: We provide numerous examples to emphasize the principles rather than just solving math problems, and we use graphs to make it easy to understand. Therefore, you can take the course without any pressure.

📣 Please refer to this for your studies!
• As I was taking notes and recording during the lecture production process, my voice was recorded low. If you are in a noisy environment, you may have difficulty hearing the lecture.