Deep Learning with Yacine on MSN

How to implement linear regression in C++ step by step

Learn how to build a simple linear regression model in C++ using the least squares method. This step-by-step tutorial walks ...
InfoQ

Google Metrax Brings Predefined Model Evaluation Metrics to JAX

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Visual Studio Magazine

Linear Regression Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...
Scientific Research Publishing

Harrell, Jr. (2015) Regression Modeling Strategies with Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. 2nd Edition, Springer.

ABSTRACT: There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable ...
IEEE

Tensor Decomposition-Based Relaxed Linear Regression for Hyperspectral Image Classification

Abstract: Linear regression and its variants have achieved considerable success in image classification. However, those methods still encounter two challenges when dealing with hyperspectral image ...
Visual Studio Magazine

Linear Regression with Two-Way Interactions Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...
Scientific Research Publishing

Antonio, G., Kapoor, A., and Pal, S. (2019) Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and More with TensorFlow 2 and the Keras API ...

ABSTRACT: Delirium is a common yet critical condition among Intensive Care Unit (ICU) patients, characterized by acute cognitive disturbances that can lead to severe complications, prolonged hospital ...
marktechpost

Google DeepMind Research Unlocks the Potential of LLM Embeddings for Advanced Regression

Large Language Models (LLMs) have revolutionized data analysis by introducing novel approaches to regression tasks. Traditional regression techniques have long relied on handcrafted features and ...
Frontiers

Objective quantification of sound sensory attributes in side-by-side vehicles using multiple linear regression models

The evaluation of sound quality is a significant area of research in audio and acoustics (Lyon, 2003). Traditional methods for assessing vehicle sound quality involve both subjective and objective ...