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Finding optimal strategies for river quality assessment using machine learning and deep learning models
Overfitting and Underfitting
KNN. K-Nearest_Neighbors — The K-Nearest…, by Pavankalyan Thatipamula
Deep Insights Into K-nearest Neighbors – Towards AI
Thermodynamically-guided machine learning modelling for predicting the glass-forming ability of bulk metallic glasses
How does one “learn” machine learning models? - Quora
KNN Model Complexity - GeeksforGeeks
KNN Accuracy vs K, Overfit/Underfit/Ideal? : r/learnmachinelearning
Supervised Learning: Introduction to Classification: K-Nearest Neighbors Cheatsheet
Hybrid stacking ensemble algorithm and simulated annealing optimization for stability evaluation of underground entry-type excavations - ScienceDirect
Multi-resistant diarrheagenic Escherichia coli identified by FTIR and machine learning: a feasible strategy to improve the group classification - RSC Advances (RSC Publishing) DOI:10.1039/D3RA03518B
A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data [PeerJ]
Big Sky Earth 2018 Introduction to machine learning
Application of Wavelet Decomposition and Ma-Chine Learning for the sEMG Signal Based Ges-Ture Recognition