Types Of Distances In Machine Learning


Introduction Distance is the separation of two or more points in space. Machine learning models use different types of distances such as Euclidean distance, Manhattan distance, Minkowski, cosine distance, etc. Machine learning algorithms like k-nearest neighbor, k-means clustering uses Euclidean, Manhattan, Minkowski methods for distance calculation. Cosine distance is used in recommendation algorithms. In this … Read more

Different Types of Web Mining


Web Mining is the application of data mining techniques to extract knowledge from web data i.e. web content, web structure, and web usage data. According to the type of data extraction, web mining is divided into three main types: Web content mining, Web structure mining, and Web usage mining.

Difference Between Forward and Backward Chaining


Forward chaining in AI is a method in which inference rules are applied to existing data to extract additional data until an end goal is achieved. Backward chaining in AI is the logical process of inferring unknown truths from known conclusions by moving backward from a solution to determining the initial conditions.