Machine Learning

What is a loss function?

A loss function is a function that calculates the difference between an estimate and the true value of some data. In machine learning, it is often called the “cost function” – a calculation of the cost of the prediction of a machine learning algorithm from some target value. It is used in optimization problems whereContinue reading “What is a loss function?”

Soft Intro to Logistic Regression

This post aims to dissect the steps in performing logistic regression on a single sample. This also covers some explanation on cross-entropy loss.

Support Vector Machines for Classification

In this post, I’ll discuss what a hyperplane is, what SVM does, and the basics of how to get the optimal hyperplane in both linear and non-linear data.

I’m aiming to write about a machine learning algorithm or concept every few weeks. This page contains a collection of my ML guides/lessons that hopefully someone might find useful.

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