- Convolutional Neural Network
- Data Validation
- ML Metadata
- Data transformation
- TensorFlow Extended (TFX)
Machine Learning Data Lifecycle in Production
Completed by Marko Kovacevic
November 3, 2021
21 hours (approximately)
Marko Kovacevic's account is verified. Coursera certifies their successful completion of Machine Learning Data Lifecycle in Production
What you will learn
 Identify responsible data collection for building a fair ML production system.
Implement feature engineering, transformation, and selection with TensorFlow Extended
Understand the data journey over a production system’s lifecycle and leverage ML metadata and enterprise schemas to address quickly evolving data.
Skills you will gain
