Explore the world of machine learning in Ruby through this RailsConf 2023 talk. Discover how to build a weather prediction model using native Ruby, learning about the tools and libraries available for ML projects. Gain insights into data collection, preparation, and cleanup, understanding the 80/20 rule in data science. Follow along as the speaker demonstrates training a linear regression model, explaining concepts like training vs. testing data, slope equations, and prediction functions. Perfect for both experienced Rubyists and newcomers, this presentation showcases the accessibility and potential of machine learning in Ruby, encouraging developers to leverage their existing skills for AI and ML applications.
Forecasting the Future - An Introduction to Machine Learning for Weather Prediction in Native Ruby
Ruby Central via YouTube
Overview
Syllabus
Introduction
Why this talk
Agenda
Tools
Libraries
Setting up the problem
Collecting data
Data preparation
Data cleanup
The 8020 rule
Training the model
Training vs Testing Data
Linear Regression
Slope Equation
Linear Regression Model
Predict Function
Recap
Thank you
Give away
Email list
X value
Taught by
Ruby Central
