Google Professional Machine Learning Engineer Cert Prep 4 Developing ML Models

Files Included :

01 - Overview.mp4 (2.37 MB)
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02 - Course four key terminology.mp4 (6.02 MB)
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01 - Using TensorFlow Playground.mp4 (4.98 MB)
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02 - Overfitting vs underfitting.mp4 (2.9 MB)
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03 - Selecting the right metrics.mp4 (10.64 MB)
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01 - Training models with TensorFlow GPU-enabled Docker.mp4 (11.02 MB)
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02 - Fine-tuning raw ingredients Hugging Face.mp4 (2.62 MB)
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03 - Advantages transfer learning.mp4 (4.55 MB)
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01 - Operationalize microservices.mp4 (4 MB)
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02 - Monitoring and logging with Rust on Google App Engine.mp4 (8.2 MB)
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03 - Continuous integration Rust with GitHub Actions.mp4 (15.44 MB)
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04 - Demo Unit testing Rust.mp4 (13.42 MB)
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05 - Demo GitHub copilot-enabled Rust.mp4 (24.31 MB)
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06 - Setup GCP workstation with Python.mp4 (12.93 MB)
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07 - Demo Google Cloud Shell.mp4 (7.9 MB)
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08 - Demo Google Cloud Editor.mp4 (11.28 MB)
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09 - Demo Google CLI SDK.mp4 (13.93 MB)
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10 - Demo Google gcloud CLI.mp4 (13.79 MB)
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11 - Demo Google App Engine Rust Deploy.mp4 (11.63 MB)
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12 - Demo Google App Engine Golang.mp4 (10.28 MB)
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01 - Next steps.mp4 (3.17 MB)
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