Statistical Libraries for Dyalog - Lecture

Explore statistical libraries for Dyalog APL in this 23-minute conference talk from Dyalog '23. Dive into the growing demand for statistics in data science, machine learning, and data-driven business decisions. Learn how to leverage APL primitives for simple summaries and linear regression, then discover two powerful libraries for more complex statistical analysis. Follow along as Josh David demonstrates multiple linear regression using KokoStats, performing various tests and examining how data selection impacts the regression model's predictive power. Explore the TamStat package, which utilizes operators to simplify function memorization and offers a cross-platform graphical interface for statistical exploration and learning. Gain insights into probability distributions, open-source APL statistics libraries, and the TamStat graphical application to enhance your statistical analysis capabilities in Dyalog APL.

Statistics in rising fields
Using built-in APL primitives
Regression with the domino matrix inverse function
What is missing in machine learning with APL
Open source APL statistics libraries
Multiple linear regression with KokoStats
Probability distributions in TamStat
TamStat graphical application