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Linear regression gradient descent explained simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...
IEEE

A Data-driven Method for DRT Function Reconstruction Based on Ridge Regression and Genetic Algorithm

Abstract: Electrochemical impedance spectroscopy (EIS) technology is widely applied in the field of lithium-ion battery research. The distribution of relaxation times (DRT) method, as a novel approach ...
Scientific Research Publishing

Ruder, S. (2016) An Overview of Gradient Descent Optimization Algorithms. arXiv Preprint.

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
GitHub

Akshaylinson/House-Price-Prediction---Linear-Regression-AI-ML

house-price-prediction(linear-regression_p1)/ ├── assets/ # Static assets ├── data/ # Dataset files │ ├── house_prices.csv # Training dataset │ └── house_prices_1M.csv # Large generated dataset ├── ...
IEEE

Operational Performance Assessment of PV-Powered Street Lighting: A Comparative Study of Different Machine Learning Prediction Models

Abstract: The widespread adoption of photovoltaic (PV) energy contributes to carbon emissions reduction, cost minimization, and climate change mitigation, particularly in applications such as street ...