Pickl AI

MARCH 26, 2024

Typical distance metrics include Euclidean distance, Manhattan distance, Minkowski distance, and cosine similarity. Text Categorisation: Utilising KNN, text data can be efficiently classified into predefined categories, aiding in tasks such as spam detection, sentiment analysis, and document classification.

K-nearest Neighbors 52

K-nearest Neighbors Machine Learning Machine Learning Algorithm 52

Pickl AI

MAY 10, 2023

ML algorithms fall into various categories which can be generally characterised as Regression, Clustering, and Classification. K-Nearest Neighbours (kNN) In order to calculate the distance between one data point and every other accomplished parameter through using the metrics of distance like Euclidean distance, Manhattan distance and others.

Clustering 52

Clustering Decision Trees Machine Learning Machine Learning 52

Flipboard

AUGUST 1, 2023

One category of proposals deals with how AI systems interface with existing rules around copyright, privacy, and bias based on race, gender, sexual orientation, and disability. That — plus the sheer importance of an emerging technology like AI — makes it worth digging a little deeper into what action in DC might involve.

AI 119

AI AI Artificial Intelligence Artificial Intelligence 119