What is a Depth-First Search (DFS) Algorithm? Building on our previous story about graphs and graph traversal algorithms, this time we will look into a depth-first search algorithm. A depth-search algorithm also traverses a graph by exploring it vertex-by-vertex, but it does it by following the vertical order of the vertices. Although the depth-first search … Read more
What is a Graph? When we want to illustrate how one thing relates to another, most often, we would preferably use a graph. From a concrete perspective, a graph is a graphical representation or an image of relationships. A graph is built of entities and their relationships. Entities represent actors in a relationship you are … Read more
Does your model’s prediction accuracy suck but you need to meet the deadline at all costs? Try the quick and dirty “meta-learning” approach called ensemble learning. In this article, you’ll learn about a specific ensemble learning technique called random forests that combines the predictions (or classifications) of multiple machine learning algorithms. In many cases, it … Read more
Decision Trees are powerful and intuitive tools in your machine learning toolbelt. Decision trees are human-readable – in contrast to most other machine learning techniques. You can easily train a decision tree and show it to your supervisors who do not need to know anything about machine learning in order to understand how your model … Read more
What is the Internet Computer? The Internet Computer is blockchain technology and computing infrastructure initiated by the non-profit organization DFinity. Like the public Internet, the Internet Computer is a distributed computing platform consisting of thousands of connected and decentralized servers that host backend software. This idea mitigates the increasing monopolization of Internet services and enables … Read more
[Reading time: 9 minutes] Graphs are everywhere. They are used in social networks, the world wide web, biological networks, semantic web, product recommendation engines, mapping services, blockchains, and Bitcoin flow analyses. Furthermore, they’re used to define the flow of computation of software programs, to represent communication networks in distributed systems, and to represent data relationships … Read more
A simple and effective way to grow your computer science skills is to master the basics. Knowing the basics sets apart the great coders from the merely intermediate ones. One such basic area in computer science is graph theory, a specific subproblem of which—the pathfinder algorithm—we’ll address in this tutorial. So first things first: What … Read more
First, let’s have a look at an image—hopefully telling us more than a thousand words: Okay, let’s go back to square one—before you understand hypergraphs, we first need to understand graphs. What Are Graphs? You most likely know graphs. The web graph consists of websites connected via hyperlinks. The websites are graph vertices and the … Read more
Knowing the basics is what sets apart the great from the intermediate coders. In other words, a simple and effective way to grow your skills is to learn the basics of computer science. Python Pathfinder Algorithm In this tutorial, you’ll learn about the pathfinder algorithm that recursively determines whether there’s a direct or indirect path … Read more
This tutorial will show you everything you need to get started training your first models using decision tree learning in Python. To help you grasp this topic thoroughly, I attacked it from different perspectives: textual, visual, and audio-visual. So, let’s get started! Why Decision Trees? Deep learning has become the megatrend within artificial intelligence and … Read more