Correlation is degree of relatedness of two or more variables. Correlation shows the linear relationship between two or more variables.
A recommender system is a technology that uses machine learning and data analysis to match people with similar tastes and preferences. Have three types: Content-based Filtering, Collaborative Filtering, and Collaborative Filtering.
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
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.