Learning Measure Theory 3: Measurable spaces and functions
Notes from learning measure theory. Covers measurable spaces and functions. These are notes and therefore liable to inaccuracies.
Blogs
Building a DBMS on the Raspberry Pi Pico: Part 1, Programming flash memory
First in a series about building a DBMS on the Raspberry Pi Pico. This article covers the first step in this process: programming flash memory
Learning Measure Theory 2: Sigma algebras
Notes from learning measure theory. Establishes the need for sigma algebras. These are notes and therefore liable to inaccuracies.
Decision tree classifier
What are decision trees? Decision trees are a form of supervised machine learning. They are built on a binary tree data structure and generate predictions by percolating input features through a system of binary questions. All non-leaf nodes in the tree ask these questions and the leaf nodes contain predictions. The below illustration depicts a decision tree (specifically a classifier tree): Decision trees are of two primary types: classification and regression....
Learning Measure Theory 1: Riemann integration
Notes from learning measure theory. Covers a review of Riemann integrals and integrability. These are notes and therefore liable to inaccuracies.