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Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
IEEE

Non-Invasive Blood Glucose Estimation on Edge Computing Devices Using Linear Regression and Deep Neural Networks

Abstract: This study presents an alternative non-invasive blood glucose estimation based on an ESP-32 microcontroller as an IoT device that serves as the main control unit and a near-infrared (NIR) ...
IEEE

Optimization of All-Pass-Type Linear-to-Circular Polarization Converter using TabPFN Tabular Regression-Based Deep Active Learning

Abstract: This paper introduces a method using Tabular Prior-data Fitted Network (TabPFN) as a base model to learn patterns from limited and expensive full-wave simulation data for electromagnetic ...
Scientific Research Publishing

Goodfellow, I., Bengio, Y. and Courville, A. (2016) Example: Linear Regression. In: Deep Learning, The MIT Press, 104-113.

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
Frontiers

Using deep neural networks and LASSO regression to predict miRNA expression changes based on mRNA data

Introduction: Since the rise of molecular high-throughput technologies, many diseases are now studied on multiple omics layers in parallel. Understanding the interplay between microRNAs (miRNA) and ...
Frontiers

Deep learning for enhanced prediction of diabetic retinopathy: a comparative study on the diabetes complications data set

Background: Diabetic retinopathy (DR) screening faces critical challenges in early detection due to its asymptomatic onset and the limitations of conventional prediction models. While existing studies ...
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Complete | What Is Linear Regression Machine Learning

This video is a one stop shop for understanding What is linear regression in machine learning. Linear regression in machine learning is considered as the basis or foundation in machine learning. This ...