Dataconomy

MARCH 4, 2025

Data mining is a fascinating field that blends statistical techniques, machine learning, and database systems to reveal insights hidden within vast amounts of data. Businesses across various sectors are leveraging data mining to gain a competitive edge, improve decision-making, and optimize operations.

Data Mining 91

Data Mining Data Mining Data Mining Decision Trees 91

PyImageSearch

JUNE 19, 2023

New users may find establishing a user profile vector difficult due to limited information about their interests. Like content-based recommendations, collaborative systems have their limitations: Identifying the -closest users for new users is difficult because of the limited information about their interests.

K-nearest Neighbors 57

K-nearest Neighbors Clustering Algorithm Deep Learning 57

Pickl AI

JULY 31, 2023

Examples of Lazy Learning Algorithms: K-Nearest Neighbors (k-NN) : k-NN is a classic Lazy Learning algorithm used for both classification and regression tasks. The algorithm identifies the k-nearest neighbors, where k is a user-defined parameter that is most similar to the new instance.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Algorithm 52

Pickl AI

JULY 17, 2023

Significantly, the technique allows the model to work independently by discovering its patterns and previously undetected information. Therefore, it mainly deals with unlabelled data. The ability of unsupervised learning to discover similarities and differences in data makes it ideal for conducting exploratory data analysis.

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

Mlearning.ai

MAY 23, 2023

Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. Data processing does the task of exploring the data, mining it, and analyzing it which can be finally used to generate the summary of the insights extracted from the data.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

Dataconomy

SEPTEMBER 1, 2023

Several data mining and neural network techniques have been employed to gauge the severity of heart disease but the prediction of it is a different subject. This can help them to better understand the risk factors for heart disease and to make informed decisions about treatment It is flexible.

Decision Trees 195

Decision Trees Machine Learning Machine Learning Support Vector Machines 195