Data Pipelines with TensorFlow Data Services
Completed by Amanda Shane Gracia Siahaan
May 11, 2024
11 hours (approximately)
Amanda Shane Gracia Siahaan'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
- Category: Data Preprocessing
- Category: Data Sharing
- Category: Applied Machine Learning
- Category: Data Pipelines
- Category: Tensorflow
- Category: Data Management
- Category: Performance Tuning
- Category: Model Training
- Category: Data Transformation
- Category: Data Import/Export
- Category: Feature Engineering
- Category: Extract, Transform, Load
