data-science-on-aws
Explore comprehensive AI/ML techniques with hands-on exercises, including real-time analytics and anomaly detection using Amazon SageMaker. This guide focuses on natural language processing with real-world examples, providing detailed instructions on creating a BERT-based text classifier to predict product review ratings. Users will gain practical experience with model training, deployment, and advanced techniques like hyper-parameter tuning, A/B testing, and auto-scaling. The book also covers crucial topics like data ingestion, bias detection, feature engineering, and setting up streaming analytics applications, positioning it as an invaluable resource for data scientists seeking practical insights.
