Read more about Machine Learning

A couple of my recent articles gave an introduction into a subfield of artificial intelligence by implementing foundational machine learning algorithms in JavaScript (e.g. linear regression with gradient descent , linear regression with normal equation or logistic regression…

A couple of my recent articles gave an introduction to machine learning in JavaScript by solving regression problems with linear regression using gradient descent or normal equation . In a regression problem, an algorithm is trained to predict continuous values . It can…

A recent article gave an introduction to the field of machine learning in JavaScript by predicting housing prices with gradient descent in a univariate regression problem. It used plain mathematical expressions and thus made use of the unvectorized implementation of gradient…

A recent article gave an introduction to the field of machine learning in JavaScript by predicting housing prices with gradient descent in a univariate regression problem. It used plain mathematical expressions and thus made use of the unvectorized implementation of gradient…

A recent article gave an introduction to the field of machine learning in JavaScript by predicting housing prices with gradient descent in a univariate regression problem. It used plain mathematical expressions and thus made use of the unvectorized implementation of gradient…

A recent article gave an introduction to the field of machine learning in JavaScript by predicting housing prices with gradient descent in a univariate regression problem. There are several improvements to optimize the gradient descent algorithm that should be collected in this…

After learning about gradient descent in a linear regression , I was curious about using different kinds of hypothesis functions to improve the result of the algorithm itself. So far, the hypothesis function was only a linear straight line. However, your training set may not…

When I recently started to dive into the topic of machine learning, I had to relearn all the things I have studied about linear algebra, stochastic and calculus at school and university. I took a little refresher on matrix operations (addition, subtraction, multiplication and…

Recently I started to take the Machine Learning course by Andrew Ng on Coursera. So far, it is a blast and I am so keen to apply all my learnings in math from university. Starting right into web development after university, I never had the opportunity to apply those learnings…