Artificial Intelligence R GO! Let's do it!

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]!

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.

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.

It covers basic data concepts, useful R functions and packages, and data analysis exercises, to allow anyone to perform big data analysis using R programming.

We cover frequently used functions for R programming, how to write code efficiently, and intermediate techniques.

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

This course is designed so that even those who are unfamiliar with statistics or are not confident in statistics can easily perform data analysis using R. Understand the basic grammar and data structure of R that can be easily overlooked, and develop your data analysis skills through various examples and practice!

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