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.

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.

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!

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

This is an advanced course where you will directly implement and interpret practical statistical techniques such as sampling distributions, hypothesis testing, regression analysis, and logistic regression using R. By utilizing AI tutors like ChatGPT and Gemini, you will learn everything from code generation to interpreting analysis results and writing reports, allowing you to take your data analysis capabilities to the next level.

Feeling overwhelmed by where to start with complex data analysis? I will clearly guide you through how to utilize R and AI Tutors using the practical know-how I've built up.

You can learn how to process data using R. Even beginners in programming can follow along.

Let's use the R language, which processes data easily and conveniently, to help even non-computer science majors develop their skills in utilizing computer programs related to their own fields!

Through this lecture, you can learn the statistical test process using R. If you are not familiar with R installation and basic grammar, you can start watching from Season 2.