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Linear Regression with Gradient Descent | Machine Learning Made Simple

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
Scientific Research Publishing

Nguyen, N.T.T., Kenyon, G.T. and Yoon, B. (2020) A Regression Algorithm for Accelerated Lattice QCD That Exploits Sparse Inference on the D-Wave Quantum Annealer. Scientific ...

ABSTRACT: The Matrix Element Method (MEM) is a widely used algorithm in experimental and theoretical high-energy physics (HEP) analyses. The MEM is based on the Lagrangian method to assess the ...
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Linear Regression In Python From Scratch | Simply Explained

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...
C&EN

Simulation of Core Flooding with Predicted Oil and Water Relative Permeabilities Using Bagging, Boosting, and Stacking Machine Learning Techniques

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Despite global efforts to transition from fossil fuels to ...
IEEE

Classification of Fraud Websites using Linear regression Algorithm and Recurrent Neural Network Algorithm with Improved Accuracy

Abstract: The purpose of this work is to improve the detection of fraud websites using Novel Linear Regression Algorithm and Recurrent Neural Network Algorithm. Materials and Methods: Novel Linear ...
Frontiers

Blending physics with data using an efficient Gaussian process regression with soft inequality and monotonicity constraints

Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA, United States In this work, we propose a new Gaussian process (GP) regression framework that enforces the physical ...
Visual Studio Magazine

Gradient Boosting Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the gradient boosting regression technique, where the goal is to predict a single numeric value. Compared to ...
Scientific Research Publishing

Tibshirani, R. (1996) Regression Shrinkage and Selection via the Lasso. Journal of the Royal Statistical Society Series B: Statistical Methodology, 58, 267-288.

ABSTRACT: Continuous groundwater quality monitoring poses significant challenges affecting the environment and public health. Groundwater in Abidjan, specifically from the Continental Terminal (CT), ...
Visual Studio Magazine

Simple k-NN Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to predict a single numeric value. Compared to other machine learning ...