Data processing options for AI/ML

Training an accurate machine learning (ML) model requires many different steps, but none are potentially more important than data processing. Examples of processing steps include converting data to the input format expected by the ML algorithm, rescaling and normalizing, cleaning and tokenizing text, and many more. However, data processing at Read more…

Operating Lambda: Application design – Part 3

In the Operating Lambda series, I cover important topics for developers, architects, and systems administrators who are managing AWS Lambda-based applications. This three-part series discusses application design for Lambda-based applications. Part 1 shows how to work with Service Quotas, when to request increases, and architecting with quotas in mind. Part Read more…