Math4ML Lesson 7: Logic and Decisions
This lesson teaches how math helps us make smart choices, and how machines do the same thing
Math4ML Lesson 5: Changes and Choices
This blog shows lesson plan to teach how probability helps us make smart gueses, and how machines do too.
Math4ML Lesson 3: Lines That Predict
A beginner-friendly introduction to linear regression: understand slope and intercept, see how lines capture relationships in data, and try simple prediction activities using real points and best-fit lines.
Math4ML Lesson 2: From Numbers to Pictures
This lesson plan teaches how graphs help us see the math behind the magic
Math4ML Lesson 4: The Power of Averages
An introduction to averages: learn mean, median, and mode, see how outliers can change what “typical” looks like, and try quick activities that turn real data into a single useful number.
Math4ML Lesson 1: Patterns Everywhere!
This blog is blog 1 of the Math for Machine Learning (Math4ML) series. It explains how math and machines learn to see the world.
Math for Machine Learning (Math4ML) Series
A 10-Part Journey to Understanding Machine Learning (for Grades 6–8). Each post builds a foundation for key ML ideas through fun, visual, and story-based math. This series is for complete beginner and does not assume that the students know anything about machine learning, algebra or calculus.
Math4ML Lesson 6: Spaces and Distance
How math helps us understand what’s close, far, and similar, just like machines do.
[MLBApp] Hello Supabase Part 1: New Project and Create a Table
Audience: Beginner
Prerequisite: None
This article is part 1 of a 3-part series of creating a simple Next.js app using Subpabase, In part 1, I will walk over
- Creating a Supabase project called MLB App
- Create a new table called players in the new project
- Add columns to the player table
- Add data to the player table
I love this 100 seconds intro of Subpabase
Create a Simple Streamlit Python CSV Comparison and Edit App (via Claude)
Since I’ve switched to use Claude from OpenAI ChatGPT, I have been pretty impressed. This blog entry showed my steps of creating an utility that I use at work for csv file comparison and editing. I need such a tool because I want to apply special logic and I am also on Mac, and the built-in Number app is not the easiest to use.
I was able to create this python utility app in less than 30 min. I do have knowledge about python and the packages that are used (streamlit and panda).
