Abstract: This study presents a comparative analysis of machine and deep learning methods for binary classification of single-lead electrocardiogram (ECG) signals. Five cardiac data classification ...

Fine-tuned DistilBERT model for binary sentiment classification (positive/negative) on review data, using Hugging Face Transformers with custom training and inference pipelines.

Abstract: In recent years, the use of Machine Learning (ML) has grown rapidly in the pharmaceutical industry, particularly for drug discovery and detection. Accurate classification of biologically ...

Community driven content discussing all aspects of software development from DevOps to design patterns. These DP-100 questions are focused on commonly misunderstood Azure Machine Learning concepts. If ...

This repository contains Python notebooks demonstrating image classification using Azure AutoML for Images. These notebooks provide practical examples of building computer vision models for various ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Community driven content discussing all aspects of software development from DevOps to design patterns. I don’t believe in cheating. Traditionally, the term “braindump” referred to someone taking an ...

To begin the process, it’s necessary to have an Azure account with an active subscription and an existing Azure Virtual Machine. By default, Azure assigns a dynamic private IP address to VMs, allowing ...

Your Azure bill is bleeding cash, but AI can be the scalpel that slashes waste, spots spikes and silently saves you thousands before finance sees the damage. Managing cloud costs in Azure has become ...

A critical privilege escalation vulnerability affecting Azure Machine Learning (AML) has been discovered by cybersecurity researchers. The flaw allows attackers with only Storage Account access to ...