Notes by Lex Toumbourou

Course notes from Data Structures and Performance on Coursera

Part of the Machine Learning Specialisation.

Contents

• Week 1 - Linear Classifiers & Logistic Regression
• Week 2 - Learning Linear Classifiers
• Week 3 - Decision Trees
• Week 4 - Preventing …

For some data relationships in Postgres (or any other relational database that speaks SQL), recursive queries are near inevitable. Let's say you have some top-level …

Mean Absolute Error (MAE) is a metric for assessing Regression predictions. Simply take the average of the absolute error between all labels and predictions in …

Notes taken during ML Regression by Coursera.

Linear Algebra Refresher

Matrices and Vectors

• Denoted by n x m (n rows, m columns).

Special Matrices

• Square …

Root mean-squared error (RMSE) is a function for assessing Regression predictions.

Sometimes called L2 Loss because it takes the L2 Norm of the error vector …

a subspace where the dimension is one less than the ambient space

Notes from Coursera's Machine Learning Foundations: A Case Study Approach by Emily Fox and Carlos Guestrin

a technique for reducing the dimensionality of data

An elegant algorithm for finding the shortest path between nodes in a graph.