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, ...
Scientific Research Publishing

Russell, R. (2018) Machine Learning: Step-by-Step Guide to Implement Machine Learning Algorithms with Python.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Frontiers

SE-enhanced 1-D CNN with full-band hyperspectral imaging for rapid and accurate maize seed variety classification

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 ...
SciELO

Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach

Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
WPLG

Champion snake hunter wins $10k in 2025 Florida Python challenge

The 2025 Florida Python Challenge names its winners as the competition comes to a close. Taylor Stanberry claimed the Ultimate Grand Prize for removing 60 pythons. She also takes home $10,000.
Medicine Buffalo

Summer graduate Courses

Summer short courses are designed to enhance the elective offerings available to IAD students, and for students in related programs at UB. These ‘bite-size’ courses are designed to: Equip students ...
IEEE

K-Nearest Neighbor Algorithm Based on the Framework of Ordered Pair of Normalized Real Numbers

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 ...
IEEE

Investigation on PCA and LDA Feature Extraction Algorithms with KNN Classifier Targetting to Improve Diagnostic Accuracy into Detection of Breast Cancer Malignancy

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) ...
Nerdbot

How Python Powers the Gaming Industry and AI Algorithms in Video Games

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 ...
Frontiers

Transformers deep learning models for missing data imputation: an application of the ReMasker model on a psychometric scale

1 Natural and Artificial Cognition Laboratory, Department of Humanistic Studies, University of Naples “Federico II”, Naples, Italy 2 Department of Translational Medical Science, University of Naples ...