Chapter 14: Machine Learning Integration
Machine learning (ML) is one of the cornerstones of today’s computing for any software-related company. ML models are capable of making predictions or deductions based on past experience, provided as training data. This enables a wide variety of applications with large benefits to any organization.
Because it relies on training data, ML is closely tied to data mining, data processing, and, in general, any kind of extract, transform, load (ETL) process. Training data must be properly cleaned, formatted, and classified before it can be fed to a model – a process that greatly affects the effectiveness of the model itself. Because of this, services such as AWS Glue offer ML-specific features and integrations, catered to making ML easier and more effective to use.
Training data preparation is not the only relationship ML has with ETL processes – it can also be used to enhance and provide new transformations within the processes...
