- Data Import/Export
- Data Pipelines
- Transfer Learning
- Data Processing
- Data Sharing
- Performance Tuning
- Tensorflow
- Model Evaluation
- Data Management
- MLOps (Machine Learning Operations)
- Extract, Transform, Load
- Data Transformation
Data Pipelines with TensorFlow Data Services
Completed by Ivan Shatsilenia
January 26, 2020
11 hours (approximately)
Ivan Shatsilenia'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
Skills you will gain
