Exploring Machine Learning in GAS: A Deep Dive
Google Apps Script (GAS) is often thought of as a tool for automating tasks within Google Workspace, like sending emails or managing spreadsheets. But did you know it can also be a powerful, albeit sometimes unconventional, tool for dipping your toes into the world of Machine Learning? While it's not going to replace TensorFlow or PyTorch for complex models, GAS offers a surprisingly accessible way to explore basic ML concepts and build simple, practical applications. GAS and Machine Learning: A Practical Approach The key to using GAS for Machine Learning lies in leveraging existing APIs and libraries. GAS excels at connecting different Google services and external APIs. This means you can use GAS to collect data, preprocess it (to a limited extent), and then send it to a dedicated ML service for training or prediction. Think of GAS as the glue that binds everything together. One common approach is to use the Google Cloud Natural Language API. This API allows you to perform sentiment…
