Machine Learning Data Lifecycle in Production
- Week 1: Collecting, Labeling and Validating Data
- This week covers a quick introduction to machine learning production systems. More concretely you will learn about leveraging the TensorFlow Extended (TFX) library to collect, label and validate data to make it production ready.
- Week 2: Feature Engineering, Transformation and Selection
- Implement feature engineering, transformation, and selection with TensorFlow Extended by encoding structured and unstructured data types and addressing class imbalances
- Week 3: Data Journey and Data Storage
- Understand the data journey over a production system’s lifecycle and leverage ML metadata and enterprise schemas to address quickly evolving data.
- Week 4 (Optional): Advanced Labeling, Augmentation and Data Preprocessing
- Combine labeled and unlabeled data to improve ML model accuracy and augment data to diversify your training set.