Apollo is an entire ecosystem built by developers as an infrastructure for GraphQL applications. You can use it on the client-side for a GraphQL client application, or server-side for a GraphQL server application. At the time of writing this tutorial, Apollo offers the richest and most popular ecosystem around GraphQL in JavaScript. There are other…
The Intersection Observer API is a browser API which can be used to track the position of HTML elements in context to the actual viewport of the browser. The official documentation says: "The Intersection Observer API provides a way to asynchronously observe changes in the intersection of a target element with an ancestor element or with a top…
When it comes to network requests between client and server applications, REST is one of the most popular choices to connect both worlds. In REST, everything evolves around the idea of having resources that are accessible by URLs. You can read a resource with a HTTP GET request, create a resource with a HTTP POST request, and update or delete it…
Many people are entering the field of web development right now. It can be an overwhelming experience for beginners to familiarize themselves with all of the tools which are used in modern web development. The historical gap between running HTML in Netscape (who remembers Netscape?) and today's technology widens with each new tool added to one of…
Recently, I was wondering how I could escape the web development bubble for a while. 2017 was full of React, Redux and MobX in JavaScript where I have written actively about those topics on my blog, developed small ( 1 , 2 , 3 , ...) and large scale applications based on them, self-published two educational ebooks , and implemented a course…
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 with gradient descent ). These machine learning algorithms were…
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 be housing prices in a specific area based on a feature set such as…
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 descent and the cost function. However, the unvectorized approach doesn…
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 descent and the cost function. However, the unvectorized approach doesn…
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 descent and the cost function. This article takes it one step further…
