Sorting data means arranging it in a certain order, often in an array-like data structure. You can use various ordering criteria, common ones being sorting numbers from least to greatest or vice-versa, or sorting strings lexicographically. You can even define your own criteria, and we'll go into practical ways
Artificial intelligence in its core strives to solve problems of enormous combinatorial complexity. Over the years, these problems were boiled down to search problems.
A path search problem is a computational problem where you have to find a path from point A to point B. In our case, we'll
Searching is one of the most common actions performed in regular business applications. This involves fetching some data stored in data structures like Arrays, List, Map, etc. More often than not, this search operation determines the responsiveness of the application for the end-user.
In this article, let's take a
There are multiple ways to solve a 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, etc. All these algorithms have their own pros and cons. An algorithm can be thought of a
Searching for data stored in different data structures is a crucial part of pretty much every single application.
There are many different algorithms available to utilize when searching, and each have different implementations and rely on different data structures to get the job done.
Being able to choose a
A decision tree is one of most frequently and widely used supervised machine learning algorithms that can perform both regression and classification tasks. The intuition behind the decision tree algorithm is simple, yet also very powerful.
For each attribute in the dataset, the decision tree algorithm forms a node,
The K-nearest neighbors (KNN) algorithm is a type of supervised machine learning algorithms. KNN is extremely easy to implement in its most basic form, and yet performs quite complex classification tasks. It is a lazy learning algorithm since it doesn't have a specialized training phase. Rather, it uses all of
In an earlier article I gave you an introduction into phonetic algorithms, and shows their variety. In more detail we had a look at the edit distance, which is also known as the Levenshtein Distance. This algorithm was developed in order to calculate the number of letter substitutions to get
