Performance Measurement in Machine Learning: 100 Days of Code (1/100)

The Motivation The Art of Better Programming has grown beyond what we had ever anticipated. With several collaborators now working together to bring programmers unique material to follow along in their training endeavors, the sky’s the limit right now. With that being said, for those who are just now joining us on this journey, weContinue reading “Performance Measurement in Machine Learning: 100 Days of Code (1/100)”

Confusion Matrix and Measurement of Algorithmic Recall: Topics of Machine Learning

Introduction to the Confusion Matrix The Topics of Machine Learning series has invested a healthy amount of effort in providing the various tools available for amplifying machine learning sophistication. This article follows suit, providing a technique for validating your model’s performance with the implementation of the confusion matrix. Within this Topics of Machine Learning series, we elaboratedContinue reading “Confusion Matrix and Measurement of Algorithmic Recall: Topics of Machine Learning”

The Lemmas of Linear Combination: Topics in Linear Algebra

Introduction To The Lemmas of Linear Combination The present endeavor of this series on linear algebra centers around the essential computations associated with linear systems. This common thread unifies all topics pertaining to this subject. Our first article began elaborating on the primary methodology of deriving the solution for a linear system, the Gaussian method.Continue reading “The Lemmas of Linear Combination: Topics in Linear Algebra”

How to Describe the Solutions of Linear Systems: Linear Algebra

What is a Solution Set? When it comes to operations on linear systems, the purpose of our efforts are often motivated by a need to solve the system. For this to be true, we must identify a solution. The solutions of a linear systems denote the values which when substituted into the equation, returns aContinue reading “How to Describe the Solutions of Linear Systems: Linear Algebra”