Cisco is hiring an AI Process Automation Expert to lead the design, development, and deployment of intelligent automation solutions across enterprise workflows.

An open source project called Scrapling is gaining traction with AI agent users who want their bots to scrape sites without ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Overview:Practical projects can help you showcase technical skill, programming knowledge, and business awareness during the hiring process.Designing end-to-end ...

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

This repository contains the complete code implementation for the manuscript "Reliable DOM Fluorescence Prediction via Solvent Sensitive Machine Learning and Domain Refinement". The code implements a ...

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...

Abstract: This paper addresses the issues of developing and optimizing preprocessing algorithms for hyperspectral data using vegetation indices (VIs) to train convolutional neural network (CNN) ...

The project explores multiple machine learning approaches including traditional ML models (Logistic Regression, SVM, Naive Bayes) and ensemble methods (Random Forest, XGBoost, Voting Classifier).