Getting Started with MATLAB

Let's collect and refine data through public data, web scraping, and more, and perform exploratory data analysis!

Let's develop the capacity to extract valuable information from big data and support decision-making!

Let's analyze and visualize data and learn machine learning concepts using Orange 3!

Let's learn how to collect data from the web and create a supervised learning model for machine learning!

Leverage Python to learn machine learning techniques, improving real data information extraction and prediction model development skills!

ChatGPT, become a creator using generative AI!

Let's acquire the Python coding skills necessary for artificial intelligence by learning the basics of the Python programming language!

Let's develop specialized skills in programming skills, algorithm skills, and statistical analysis skills!

Let's learn various data structures and algorithms and develop practical skills by implementing them through programming!

Let's build a solid foundation in Python and solve data analysis problems!

Let's understand model algorithms for machine learning and deep learning by utilizing Keras!

Let's understand the main algorithms of machine learning and deep learning, and learn about artificial intelligence!

Understand and learn about Artificial Intelligence and AI ethics, and strengthen your AI digital capabilities by integrating them with your own field of study!

Let's look into how to deploy Abyss for non-majors!

Modern C++ programming based on object-oriented concepts for computer science majors

Let's manage projects efficiently and smartly through data science

Are you a digital talent interested in coding and development? Get started with block coding through App Inventor!

Are you a digital talent interested in coding and the Internet of Things (IoT)? Get started with programming through MicroPython!

Are you a digital talent interested in the Internet of Things (IoT)? Get started with the Internet of Things through Arduino!

Learn how to use Git and GitHub and use them for collaboration!

Understand machine learning concepts, AI learning principles, and mathematical principles for model implementation to fully utilize deep learning!

This is optimization theory required for AI/deep learning, computer vision, computer graphics, and more. Optimization Theory 1 focuses primarily on the definition of multivariable functions and their derivatives. Why is that? It is because all optimization problems are expressed in the form of multivariable functions. If you acquire an accurate definition of multivariable functions and the concept of differentiation, the theoretical approach to the aforementioned fields will become significantly easier.

This course is for those who want to study machine learning but lack statistical knowledge.

This course is ideal for those who want to focus on theory and context rather than practice, aiming to organize their knowledge of deep learning in depth and grasp the big picture. It makes the mathematical and statistical foundations of deep learning easy to understand and provides intuitive interpretations of key modern models—such as AutoEncoder, GAN, Transformer, and AlphaGo—from a developer's perspective.

We foster capabilities to prepare for future technological changes by learning from the basics related technologies that are at the core of 4th Industrial Revolution technologies, such as ICBM (IoT, Cloud, Big Data, ML), autonomous vehicles, and the metaverse.

This is a basic machine learning course for those who don't know math and coding well, but want to understand machine learning trends and utilize machine learning technology to plan products.

- I am a Research Engineer/AI PM running a 4-year-old AI startup. - This video is a lecture for those who want to start studying artificial intelligence "now" or in "2026". - Looking at college students, I see many who have no idea how to get started with artificial intelligence. - I hope that after watching this lecture, you'll be able to start studying artificial intelligence. - For reference, this lecture is not about "using AI in my work" or "getting started with monetization methods using GPT". - This is a video about how students, graduate students, or developers can get started when they want to study artificial intelligence.