Amazon Forecast - Time Series Forecasting
A comprehensive reference for Amazon Forecast: managed time series prediction, predictor training, and integration patterns for demand …
ML
Amazon Fraud Detector - ML-Based Fraud Prevention
A comprehensive reference for Amazon Fraud Detector: building fraud detection models, defining rules, and integrating real-time fraud …
Amazon Lookout for Metrics - Anomaly Detection
A comprehensive reference for Amazon Lookout for Metrics: automated anomaly detection in business and operational metrics, alerting, and …
Amazon Personalize - ML-Powered Recommendations
A comprehensive reference for Amazon Personalize: building recommendation engines, real-time personalization, and campaign management for …
Amazon Redshift - Cloud Data Warehouse
A comprehensive reference for Amazon Redshift: columnar data warehousing, ML integration, and analytics patterns for AI-driven enterprise …
Batch vs Real-Time Inference Patterns
Comparing batch and real-time inference patterns for ML models, covering architecture, cost, latency, and when to use each approach.
Code Review Practices for ML Codebases
Practical guide to code review for ML projects, covering what to look for in training code, data pipelines, serving code, and experiment …
DSPy - Programming with Foundation Models
A comprehensive reference for DSPy: declarative language model programming, automatic prompt optimization, and systematic LLM pipeline …
Google Vertex AI - Unified ML Platform
A comprehensive reference for Google Vertex AI: Gemini models, AutoML, model training, and enterprise ML workflows on Google Cloud Platform.
Hugging Face - Open-Source AI Platform
A comprehensive reference for Hugging Face: the model hub, Transformers library, datasets, and deployment options for open-source AI models.
AI Fraud Detection for Financial Services
Real-time transaction scoring, anomaly detection, behavioral biometrics, and investigation prioritization for financial fraud prevention.