人工知能R GO！やろう！

Through this class, you will be able to understand R Shiny accurately and systematically learn how it works and how to build it. In addition, we will build a web application that can use R Shiny to do [moving word cloud] and [AI image judgment]!

This is a lecture that teaches you how to do data science through R. You will learn line by line, from loading data to building models and model performance strategies.

This is a basic R programming course for beginners. Just follow along with me and type in the code twice. You will naturally become a beginner!

We will learn about Q-learning and Deep Q-learning, and have time to implement reinforcement learning in R. We will cover the entire reinforcement learning content, from Deep Q-network to Self-imitation learning and Random Network Distillation.

Build basic R programming skills and learn basic crawling techniques. We will explain each line while writing the code yourself.

Following Season 1, we cover advanced statistical techniques, data mining, modeling, etc.

This is a course on the R program, which is widely used in statistics and data analysis. It covers everything from a basic introduction to the program to intermediate-level statistical theory and modeling.

This course covers the basics of R programming for those who have no knowledge of R programming.