Dataconomy

MAY 6, 2025

The K-Nearest Neighbor (KNN) algorithm is an intriguing method in the realm of supervised learning, celebrated for its simplicity and intuitive approach to predicting outcomes. Often employed for both classification and regression tasks, KNN leverages the proximity of data points to derive insights and make decisions.

K-nearest Neighbors 91

K-nearest Neighbors Algorithm Machine Learning Machine Learning 91

IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Pickl AI

MARCH 26, 2024

Summary: The KNN algorithm in machine learning presents advantages, like simplicity and versatility, and challenges, including computational burden and interpretability issues. Nevertheless, its applications across classification, regression, and anomaly detection tasks highlight its importance in modern data analytics methodologies.

K-nearest Neighbors 52

K-nearest Neighbors Machine Learning Machine Learning Algorithm 52

Pickl AI

JULY 17, 2023

Machine Learning is a subset of artificial intelligence (AI) that focuses on developing models and algorithms that train the machine to think and work like a human. It entails developing computer programs that can improve themselves on their own based on expertise or data. What is Unsupervised Machine Learning?

Machine Learning 52

Machine Learning Machine Learning Clustering K-nearest Neighbors 52

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Towards AI

JULY 19, 2023

That post was dedicated to an exploratory data analysis while this post is geared towards building prediction models. and reflect the inherent imbalance in the training and testing data; Using a penalized model (instead of a sampling technique like SMOTE) with a simple weighting scheme that is the inverse of a class frequency.

Machine Learning 40

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines 40