Learn how to build your first AI agent using Azure AI Foundry in 2025. Part 1 covers setup, prerequisites, project creation, and model deployment. Start your journey to creating intelligent, production-ready AI agents in just 30 minutes.
Tag: machine learning
Hand Tracking Made Easy: Build Gesture Recognition Apps with MediaPipe in Python
Master MediaPipe’s hand tracking capabilities with Python. Learn to build gesture recognition apps, count fingers, detect pinch gestures, and create interactive applications with real-time hand landmark detection.
Getting Started with MediaPipe: Your Complete Beginner’s Guide to Real-Time Computer Vision
Learn how to get started with Google’s MediaPipe framework for real-time computer vision. This beginner-friendly guide covers installation, basic concepts, and building your first hand detection application.
Mastering Dead Letter Handling and Retry Policies in Azure Event Grid – Part 4: Advanced Topics and Reference Architecture
Welcome to the final part of our comprehensive Azure Event Grid resilience series! In Part 1, we covered foundational concepts, Part 2 explored implementation details,
Zero-Trust Architecture with Azure AD: Part 4 – Advanced Risk Management
Explore advanced risk management with Azure AD Identity Protection. Learn machine learning-powered threat detection, adaptive authentication, and automated response mechanisms for intelligent Zero-Trust security.
Azure Cognitive Services: Building Intelligent Applications in 2025
In 2025, Azure Cognitive Services has evolved into an even more powerful suite of AI capabilities that enables developers to build intelligent applications with minimal
AdaBoost Algorithm: The Revolutionary Ensemble Method That Changed Machine Learning
AdaBoost (Adaptive Boosting) revolutionized machine learning by proving that combining many weak learners could create a remarkably strong classifier. Developed by Yoav Freund and Robert
Support Vector Machine (SVM): The Mathematical Powerhouse of Classification
The Apriori algorithm revolutionized market basket analysis and association rule mining when it was introduced in 1994. This groundbreaking algorithm helps discover relationships between different
K-Means Clustering: Complete Guide to One of Data Mining’s Most Essential Algorithms
The K-Means clustering algorithm stands as one of the most fundamental and widely-used unsupervised learning algorithms in data mining. Despite its simplicity, K-Means has powered
Artificial Intelligence and Its Future: Navigating Tomorrow’s Digital Landscape
Explore the current state of artificial intelligence and discover what the future holds for AI technology. From emerging trends and industry applications to challenges and preparations needed for an AI-driven world.
