Tag: Machine-Learning

This paper introduces an actor-verifier AI architecture that enhances reliability and interpretability in safety-critical systems by having …

Dive into the core principles of AI system design, understanding what makes AI applications unique and how to lay a solid foundation for …

Understand the core principles and lifecycle of MLOps, bridging machine learning development with robust DevOps practices for reliable AI …

Explore how AI transforms monitoring and observability in DevOps, enabling predictive analytics, anomaly detection, and intelligent alerting …

Build a practical AI-driven anomaly detector for production metrics using Python and scikit-learn. Learn to simulate data, train models, and …

Explore the complex architecture behind Netflix's personalization and recommendation systems, including data flows, model ensembles, and …

Discover how to integrate and deploy AI-powered services on Void Cloud, from serverless functions to edge inference, with practical examples …

Dive into the fundamental processes of face detection and alignment using the conceptual UniFace toolkit. Learn how to locate faces and …

Embark on building your first face recognition model. This chapter demystifies the core principles of face biometrics, guiding you through …

Master debugging techniques for AI models and data pipelines, covering data quality, model performance, prompt engineering, and …

Explore integrating on-device AI with Core ML, leveraging cloud-based AI APIs, and designing agentic features for intelligent user …

Learn to containerize a complete machine learning workflow on macOS using Apple's native container tools, from data preparation to model …