Ecommerce Fastlane

What Are AI Algorithms? Types of AI Algorithms + Use Cases

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...
GitHub

I will update this repository to learn Machine learning with python with statistics content and materials

Day - 16 Hackathon Session Stats Revision Day - 17: 16-06-2019 Linear Regression: Supervised Learning, What is Linear Regression?, find slope and intercept, Different ways to solve Linear Regression, ...
Scientific Research Publishing

Hope, T. M. H. (2020). Linear Regression. In A. Mechelli, & S. Vieira (Eds.), Machine Learning (pp. 67-81). Elsevier.

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...
Scientific Research Publishing

Maulud, D., & Abdulazeez, A. M. (2020). A Review on Linear Regression Comprehensive in Machine Learning. Journal of Applied Science and Technology Trends, 1, 140-147.

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...
Machine Design

eBook: Efficient Linear Motion Design with Smart Bearing Selection

Unlock the keys to designing high-performance linear motion systems with expert insights on bearings, drive technologies, and precision engineering. This e-book is a comprehensive guide to designing ...
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, ...
GitHub

Implement Linear Regression in supervised-learning

New issue New issue Open Open Implement Linear Regression in supervised-learning #2 Labels good first issueGood for newcomershssoc ...
IEEE

S 4 R: Separated Self-Supervised Spectral Regression for Hyperspectral Histopathology Image Diagnosis

Abstract: Hyperspectral images (HSIs) offer great potential for computational pathology. But, limited by the lack of adequate annotated data and the high spectral redundancy of HSIs, traditional ...