Deep Learning with Yacine on MSN
RMSProp optimization from scratch in Python
Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
Deep Learning with Yacine on MSN
Build k-nearest neighbors from scratch in Python – step by step tutorial
Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
College of Information Science and Technology, Gansu Agricultural University, Lanzhou, China Introduction: Accurate identification of maize seed varieties is essential for enhancing crop yield and ...
Abstract: The K-Nearest Neighbors (kNN) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...
Abstract: This work aims to compare two different Feature Extraction Algorithms (FEAs) viz. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), using a K-Nearest Neighbor (KNN) ...
Introduction: The older adult are at high risk of sarcopenia, making early identification and scientific intervention crucial for healthy aging. Methods: This study utilized data from the China Health ...
ABSTRACT: The 2018 General Education Program in Vietnam emphasizes personalized learning and the application of technology in teaching. This study proposes a customized learning system integrating ...
Spreadsheets have been a trusted companion in our professional lives for decades—whether it’s tracking budgets, analyzing data, or planning projects. But let’s be honest: as powerful as tools like ...
The video game industry has evolved leaps and bounds over the last half century, from simple arcade-like gameplay to highly immersive, intelligent, and interactive gaming. With advancements in ...
This project demonstrates how to implement the K-Nearest Neighbors (KNN) algorithm for classification on a customer dataset. The program iterates through different values of k (number of neighbors) ...
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