Article
Linear Search, also known as Sequential Search, operates by traversing through the dataset, element by element until the desired item is found or the algorithm reaches the end of the collection. Its simplicity and ease of implementation make it a go-to choice for small datasets and lists where items are...
Dimitrije Stamenic
Byte
When it comes to searching algorithms, we often think of the usual suspects like Binary Search or Linear Search. But what should we choose when we have a sorted, unbounded lists where the length is unknown or not easy to determine? Enter Exponential Search, a unique algorithm that doubles the...
Scott Robinson
Fibonacci Search is one of those interesting algorithms that shows us the beauty and elegance of computer science. Based on the famous Fibonacci Sequence, where each number is the sum of the two preceding ones, the Fibonacci Search technique is a comparison-based search algorithm that applies this mathematical concept to...
There are usually multiple ways to solve the problem using a computer program. For instance, there are several ways to sort items in an array - you can use merge sort, bubble sort, insertion sort, and so on. All of these algorithms have their own pros and cons and the...
Usman Malik
The K-nearest Neighbors (KNN) algorithm is a type of supervised machine learning algorithm used for classification, regression as well as outlier detection. It is extremely easy to implement in its most basic form but can perform fairly complex tasks. It is a lazy learning algorithm since it doesn't have a...
Cássia Sampaio
K-means clustering is an unsupervised learning algorithm that groups data based on each point euclidean distance to a central point called centroid. The centroids are defined by the means of all points that are in the same cluster. The algorithm first chooses random points as centroids and then iterates adjusting...
K-Means clustering is one of the most widely used unsupervised machine learning algorithms that form clusters of data based on the similarity between data instances. In this guide, we will first take a look at a simple example to understand how the K-Means algorithm works before implementing it using Scikit-Learn....
If you had studied longer, would your overall scores get any better? One way of answering this question is by having data on how long you studied for and what scores you got. We can then try to see if there is a pattern in that data, and if in...
Graphs are one of the most useful data structures. They can be used to model practically everything - object relations and networks being the most common ones. An image can be represented as a grid-like graph of pixels, and sentences can be represented as graphs of words. Graphs are used...
Anđela Niketić
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