Iterative Deepening Depth-First Search (DFS) Algorithm in Python

What is an Iterative Deepening Depth-First Search Algorithm? Continuing our story even further, after introducing graphs and basic graph traversal algorithms, we will refine the Depth-First Search Algorithm by introducing the iterative depth limitation. An iterative deepening depth-search algorithm also traverses a graph by exploring it vertex-by-vertex, but it does it by following the vertical … Read more

Python Depth-First Search (DFS) Algorithm

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

Random Forest Classifier with sklearn

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

Python Scikit-Learn Decision Tree [Video + Blog]

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

[FANG KILLER ICP] Will the Internet Computer Disrupt Big Tech?

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

What are the Applications of Graphs in Computer Science?

[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

What is a Hypergraph?

Graphs You most likely know graphs. The web graph consists of websites connected via hyperlinks. The websites are graph vertices and the hyperlinks are graph edges. Each graph edge connects exactly two vertices. What happens if you drop this limitation and allow each edge to connect an arbitrary number of vertices? Simple: you get a … Read more

The Pathfinder Graph Algorithm in Python

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

Decision Tree Learning — A Helpful Illustrated Guide in Python

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