Machine Learning: July 2025 B
Unit 11: Model Selection and Evaluation
Unit Notes
The objective of this unit was to deep dive into the workflow for machine learning models, evaluation, and production deployment standards. Machine learning operations (MLOps) was also introduced as a concept for further exploration.
My takeaway was a grasp of the standards for model selection, evaluation, and optimization, as well as industry-standard techniques for model hyperparameter tuning for more efficient model performance.
I also completed the second major project of this module, an individual presentation on coding and evaluating the accuracy of a convolutional neural network designed to categorize images from a set of stock thumbnails by image subject type ("car," "truck," etc.).