I'm listening. Please explain it so I can understand.
5.0
산보행
100% enrolled
I just learned linear algebra for the first time and it seems to be well organized.
5.0
한밭구장
100% enrolled
Thank you for the great lecture. I hope it will be helpful to everyone.
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 .
I am Deep Learning Ho-hyung, and I run a YouTube channel related to deep learning and machine learning.
I majored in mathematics/data analysis and have completed and am currently working on numerous machine learning/deep learning projects.
I have knowledge that I can share with you, ranging from Artificial Intelligence topics such as machine learning, advanced machine learning, deep learning, optimization theory, and reinforcement learning, to mathematical content including linear algebra, calculus, probability and statistics, analysis, and numerical analysis.
Nice to meet you all!
§ Profile
Research Engineer at a large corporation - Development of smart factory-related models
PhD in Mathematics from Germany
§ Related Experience
Numerous SCI(E) papers and international conference presentations
Multiple university consultations related to artificial intelligence
Doctoral/Post Doctoral Researcher at a German Research Institute
Major Corporation Research Engineer - New Product Development
Author of "Introduction to PyTorch for Deep Learning" (Selected as a 2022 Sejong Book in the Academic Category)
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!