Machine Learning for Model Testing and Validation - A Complete Guide

ML for Model Testing and Validation

Master machine learning techniques for model testing: model testing, validation, unit testing, integration testing, ML testing, and effective management of ML workflows.

1. Principles of ML for model testing

Use DVC for Large Datasets

Track model testing from the beginning.

Monitor changes in data.

ML Testing Skills Apply Across Various Fields

Data Engineer (with a focus on versioning)

ML Engineer (with a focus on reproducibility)

Frequently asked questions