AI Statistics for Non-Majors

# Lecture 18. AI Statistics for Non-Majors

## Notice on New Lesson Postings

Hello, students! For this course, **47** new lessons (totaling 9 sections) are scheduled to be posted sequentially. Since I am producing multiple courses simultaneously, I proceed by **alternating between various courses and posting a little at a time**, rather than uploading one entire course all at once. Please find the posting principles and the schedule for each section below.

> For your reference, the lessons being posted now are not entirely new content, but are part of the production of **revised editions (2nd or 3rd editions)** that reinforce existing lectures.

## Posting Principles

- Currently, I am rotating through a total of 19 courses in order (circular method), posting one lesson per course alternately.
- Postings are made on weekdays (Mon–Fri), with 5 new lessons uploaded daily across all courses.
- For this course as well, the next lesson will be posted each time its turn comes around in the rotation.
- While the posting speed may feel slow compared to other courses, all courses are progressing together in the same manner.

## Posting Schedule by Section (Total 9 Sections)

| Section | Number of Lessons | Start Date | End Date |
|---|---|---|---|
| Section 1. Why Learn Statistics (Establishing an AI Perspective) | 5 | 2026-07-06 | 2026-07-27 |
| Section 2. Developing a Sense for Data | 6 | 2026-07-31 | 2026-08-27 |
| Section 3. Why You Shouldn't Trust Averages | 6 | 2026-09-02 | 2026-09-29 |
| Section 4. Concepts of Spread and Uncertainty | 5 | 2026-10-05 | 2026-10-26 |
| Section 5. Minimum Essential Concepts of Probability | 5 | 2026-10-30 | 2026-11-20 |
| Section 10. How Not to Misinterpret Relationships | 4 | 2026-11-26 | 2026-12-11 |
| Section 11. Looking at AI Models Statistically | 6 | 2026-12-17 | 2027-01-12 |
| Section 12. Limitations Non-Majors Must Know | 5 | 2027-01-15 | 2027-02-03 |
| Section 13. Wrap-up - Organizing Statistical AI Thinking | 5 | 2027-02-09 | 2027-02-25 |

## Estimated Completion

Based on the current pace, the estimated completion date for all postings of this course is **around February 2027**. (The actual schedule may be moved up or delayed depending on production progress.)

## All Postings Completed

In the case of this course, all revised editions have already been posted. Therefore, please use this schedule information for reference only. 

At the request of our readers, we are issuing a 66% discount coupon for "Cognitive Load Management Techniques to Break Through the Limits of RAG Performance" (the 990,000 KRW course can be purchased for 330,000 KRW).

For your information, this course is currently in the process of posting the 2nd edition, which is a revision of the 1st edition.

In the case of the 2nd edition, all class materials have been posted, but the videos are still in the process of being uploaded.

I post the 2nd edition videos frequently, but it will take a long time (at least several months) to post all of them.

Please keep this in mind and carefully decide whether to use the coupon.

The deadline is the 19th and there is a limited number of coupons available, so please hurry if you need one.

You can download the coupon by entering the address below into your browser's search bar.

https://inf.run/QowXG

Hello.

The era of AI writing code has arrived.

However, the task of verifying the code written by AI and directing the path for improvement remains the responsibility of humans.

Furthermore, it has become necessary to know how to utilize AI more extensively in both vertical and horizontal directions.

The horizontal direction refers to a direction that encompasses everything from planning to deployment, and

The vertical direction refers to a direction that can encompass various languages, various frameworks, and various methodologies.

Therefore, a developer with a broad spectrum (that is, a complete spectrum in both vertical and horizontal directions)

will be needed.

However, the education system has not yet been able to keep up with this.

That is why I have opened the "Structural Code Reading Bootcamp" using Claude Code.

At https://code-reading-bootcamp.vercel.app/, you can develop the ability to read code written by both AI and humans, and

You will be able to develop the ability to guide AI on how to improve code.

It includes gamification elements, so you can have fun while tracking your skill improvements.

It is free to use anytime without the need to log in.

Although there are some shortcomings and parts where the questions have not yet been filled in,

I introduce this with the hope that it will be helpful to you.

I would appreciate it if you could use it lightly.

February 10, 2026, Sincerely, Jinsu Park (Arigaram).