What you’ll learn
- Build Best Performing Machine Learning Models
Basically, the machine learning process includes these stages:
- Feed a machine learning algorithm examples of input data and a series of expected tags for that input.
- The input data is transformed into text vectors, an array of numbers that represent different data features.
- Algorithms learn to associate feature vectors with tags based on manually tagged samples, and automatically makes predictions when processing unseen data.