- Tensorflow
- Data Management
- MLOps (Machine Learning Operations)
- Performance Tuning
- Data Validation
- Data Pipelines
- Data Processing
- Feature Engineering
- Data Transformation
- Data Import/Export
- Extract, Transform, Load
- Data Sharing
Data Pipelines with TensorFlow Data Services
Completed by CITRA ANDHINI RIZKITHA
May 21, 2023
11 hours (approximately)
CITRA ANDHINI RIZKITHA 's account is verified. Coursera certifies their successful completion of Data Pipelines with TensorFlow Data Services
What you will learn
Perform efficient ETL tasks using Tensorflow Data Services APIs
Construct train/validation/test splits of any dataset - either custom or present in TensorFlow Hub Dataset library - using Splits API
Use different modules and functions of the TFDS API to prepare your data for training pipelines
Identify bottlenecks in your input pipelines and increase your workflow efficiency by input parallelization