| Description |
1 online resource (1 video file, approximately 42 min.) |
|
digital rdatr |
|
video file |
| Summary |
ML development often focuses on metrics, delaying work on deployment and scaling issues. ML development designed for production deployments typically follows a pipeline model with scaling and maintainability as inherent parts of the design. Robert Crowe and Charles Chen (Google) takes a deep dive into TensorFlow Extended (TFX), the open source version of the ML infrastructure platform that Google has developed for its own production ML pipelines. Prerequisite knowledge Experience with ML development and software development What you'll learn Discover issues and best practices for putting machine learning models and applications into production. |
| System Details |
Mode of access: World Wide Web. |
| Performer |
Presenter, Robert Crowe, Charles Chen. |
| Reproduction |
Electronic reproduction. Boston, MA : Safari. Available via World Wide Web. |
| Subject |
Machine learning.
|
|
Artificial intelligence.
|
|
Apprentissage automatique. |
|
Intelligence artificielle. |
|
artificial intelligence. |
| Genre |
Electronic videos. |
| Added Author |
Chen, Charles, author.
|
|
Safari, an O'Reilly Media Company.
|
| Standard No. |
0636920373865 |
|
More Resources