North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
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Adagrad Algorithm Explained and Implemented from Scratch in Python

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...
Frontiers

Intelligent optimization of slope step parameters in open pit mines containing weak interbedded layers based on machine learning and multi-objective optimization methods

1 Faculty of Land Resources Engineering, Kunming University of Science and Technology Kunming, Kunming, China 2 Pangang Group Mining Company Limited Panzhihua, Panzhihua, Sichuan, China The stability ...
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 ...
GitHub

Data Structures and Algorithms Repository

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...
IEEE

Leveraging Parallel Computing for Efficient Cascade and Distributed Support Vector Machines on Large-Scale Data

Abstract: The Support Vector Machine (SVM) is a popular classification algorithm and is known for its generalization properties in machine learning. In this paper, we propose parallel implementation ...
IEEE

Leveraging Support Vector Machine for Accurate Sentiment Analysis in Healthcare

Abstract: Sentiment AI leverages artificial intelligence to analyze human emotions across various fields. This research focuses on understanding patient experiences with healthcare facilities by using ...
Frontiers

Research on fault prediction and speed control system for unmanned combine harvesters based on IPSO-SVM and fuzzy logic

1 School of Agricultural Engineering, Jiangsu University, Zhenjiang, China 2 Key Laboratory for Theory and Technology of Intelligent Agricultural Machinery and Equipment, Jiangsu University, Zhenjiang ...
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Adadelta Algorithm from Scratch in Python

Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box! Florida State Bracing for Hefty ...