2022, Data Mining and K-nearest Neighbors

Fundamentals of Recommendation Systems

PyImageSearch

JUNE 19, 2023

Each service uses unique techniques and algorithms to analyze user data and provide recommendations that keep us returning for more. Recall@K is then defined as We can define several other metrics based on precision-recall (e.g., Figure 1: Distribution of applications of recommendation systems (source: Ko et al.,

K-nearest Neighbors

K-nearest Neighbors Clustering Algorithm Deep Learning

From prediction to prevention: Machines’ struggle to save our hearts

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. Researchers often experiment with various algorithms like random forest, K-nearest neighbor, and logistic regression to find the best combination.

Decision Trees

Decision Trees Machine Learning Machine Learning Support Vector Machines

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Fundamentals of Recommendation Systems

From prediction to prevention: Machines’ struggle to save our hearts

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