AI implementation guides for real business workflows

Clear walkthroughs, field notes, and implementation patterns for websites, workflows, connected data, and useful automation.

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Algorithms 10 min read Jun 11, 2023

Here's how you can implement Gradient Descent using JavaScript

In this post, we're going to see how online gradient descent is implemented with JavaScript to determine the best parameters for a simple linear regression model to make accurate predictions.

Machine Learning 5 min read May 29, 2023

Introduction to Supervised Learning in Machine Learning

In this post we'll go into the concept of supervised learning, the requirements for machines to learn, and the process of learning and enhancing prediction accuracy.

Machine Learning 5 min read May 22, 2023

The beginner's guide to implementing simple linear regression using Python

In this post, we will be putting into practice what we learned in the introductory linear regression article. Using Python, we will construct a basic regression model to make predictions on house prices.

Algorithms 9 min read May 11, 2023

An introduction to multiple linear regression for machine learning

In this post, we'll define what Multiple Linear Regression is, and its use cases, then we'll dive deep into the algorithm how it's applied, and the best practices.

Machine Learning 4 min read May 1, 2023

An introduction to linear regression for machine learning

In this post, I will go over the concept of simple linear regression, delve into the underlying mathematical principles of the algorithm, and explore its practical application in the field of machine learning.