Forecasting the Future: An Introduction to Machine Learning for Weather Prediction in Native Ruby

In this talk, Landon Gray explores the possibilities of machine learning in native Ruby. He demonstrates how to build a model to predict weather by collecting data, preparing it, training a machine learning model using libraries like Daru, Numo, and Rumale, and making predictions. The presentation covers the use of Jupyter Notebooks with iRuby and touches upon the 80/20 rule for data science, highlighting the time commitment for data cleaning. The talk also discusses linear regression as a model choice and how such models can potentially be integrated into Ruby on Rails applications.