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Checked by:
Category:
Language:
English
Total Size:
5.0 GB
Info Hash:
8BA678382E7476E087315A9D91A63CC0790F1EF5
Added By:
Added:
May 1, 2025, 12:22 a.m.
Stats:
|
(Last updated: May 19, 2025, 11:55 a.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 183 bytes |
| 001 - Lesson 1 - Getting Started.mp4 | 122.6 MB |
| 002 - Lesson 2 - Preparing Your Local Environment.mp4 | 128.3 MB |
| 003 - Lesson 3 - Introduction to Metaflow.mp4 | 132.3 MB |
| 004 - Lesson 4 - Training the Model.mp4 | 161.9 MB |
| 005 - Lesson 5 - The Training Pipeline.mp4 | 303.3 MB |
| 006 - Lesson 6 - Building a Custom Inference Process.mp4 | 187.6 MB |
| 007 - Lesson 7 - Deploying The Model.mp4 | 118.2 MB |
| 008 - Lesson 8 - The Endpoint Pipeline.mp4 | 170.3 MB |
| 009 - Lesson 9 - Monitoring The Model.mp4 | 85.2 MB |
| 010 - Lesson 10 - The Monitoring Pipeline.mp4 | 122.6 MB |
| 011 - Lesson 11 - Production Pipelines in Amazon Web Services.mp4 | 180.8 MB |
| 012 - Lesson 12 - Deploying the Model to SageMaker.mp4 | 107.6 MB |
| 013 - Lesson 13 - The Deployment Pipeline.mp4 | 116.8 MB |
| 014 - Lesson 14 - Monitoring the SageMaker Endpoint.mp4 | 46.2 MB |
| 015 - Lesson 15 - Running Pipelines Remotely.mp4 | 152.6 MB |
| 016 - Session 1 - Introduction and Initial Setup.mp4 | 322.9 MB |
| 017 - Session 2 - Exploratory Data Analysis.mp4 | 145.5 MB |
| 018 - Session 3 - Splitting and Transforming the Data.mp4 | 403.5 MB |
| 019 - Session 4 - Training the Model.mp4 | 281.5 MB |
| 020 - Session 5 - Custom Training Container.mp4 | 168.0 MB |
| 021 - Session 6 - Tuning the Model.mp4 | 121.5 MB |
| 022 - Session 7 - Evaluating the Model.mp4 | 156.1 MB |
| 023 - Session 8 - Registering the Model.mp4 | 77.4 MB |
| 024 - Session 9 - Conditional Registration.mp4 | 64.3 MB |
| 025 - Session 10 - Serving the Model.mp4 | 88.7 MB |
| 026 - Session 11 - Deploying the Model.mp4 | 86.8 MB |
| 027 - Session 12 - Deploying From the Pipeline.mp4 | 230.2 MB |
| 028 - Session 13 - Deploying From an Event.mp4 | 75.6 MB |
| 029 - Session 14 - Building an Inference Pipeline.mp4 | 159.4 MB |
| 030 - Session 15 - Custom Inference Script.mp4 | 114.3 MB |
| 031 - Session 16 - Data Quality Baseline.mp4 | 102.2 MB |
| 032 - Session 17 - Model Quality Baseline.mp4 | 102.8 MB |
| 033 - Session 18 - Data Monitoring.mp4 | 130.0 MB |
| 034 - Session 19 - Model Monitoring.mp4 | 73.2 MB |
| 035 - Session 20 - Shadow Deployments.mp4 | 65.7 MB |
| Bonus Resources.txt | 70 bytes |
| Building Machine Learning Systems That Don't Suck (1).html | 480.4 KB |
| Building Machine Learning Systems That Don't Suck (10).html | 470.9 KB |
| Building Machine Learning Systems That Don't Suck (11).html | 471.5 KB |
| Building Machine Learning Systems That Don't Suck (12).html | 472.0 KB |
| Building Machine Learning Systems That Don't Suck (13).html | 466.8 KB |
| Building Machine Learning Systems That Don't Suck (14).html | 472.8 KB |
| Building Machine Learning Systems That Don't Suck (15).html | 470.5 KB |
| Building Machine Learning Systems That Don't Suck (16).html | 519.7 KB |
| Building Machine Learning Systems That Don't Suck (17).html | 512.6 KB |
| Building Machine Learning Systems That Don't Suck (18).html | 512.9 KB |
| Building Machine Learning Systems That Don't Suck (19).html | 515.6 KB |
| Building Machine Learning Systems That Don't Suck (2).html | 478.1 KB |
| Building Machine Learning Systems That Don't Suck (20).html | 518.2 KB |
| Building Machine Learning Systems That Don't Suck (21).html | 512.9 KB |
| Building Machine Learning Systems That Don't Suck (22).html | 511.1 KB |
| Building Machine Learning Systems That Don't Suck (23).html | 521.2 KB |
| Building Machine Learning Systems That Don't Suck (24).html | 521.9 KB |
| Building Machine Learning Systems That Don't Suck (25).html | 520.5 KB |
| Building Machine Learning Systems That Don't Suck (26).html | 509.0 KB |
| Building Machine Learning Systems That Don't Suck (27).html | 517.5 KB |
| Building Machine Learning Systems That Don't Suck (28).html | 520.8 KB |
| Building Machine Learning Systems That Don't Suck (29).html | 513.7 KB |
| Building Machine Learning Systems That Don't Suck (3).html | 444.5 KB |
| Building Machine Learning Systems That Don't Suck (30).html | 502.9 KB |
| Building Machine Learning Systems That Don't Suck (31).html | 512.1 KB |
| Building Machine Learning Systems That Don't Suck (32).html | 513.4 KB |
| Building Machine Learning Systems That Don't Suck (33).html | 514.2 KB |
| Building Machine Learning Systems That Don't Suck (34).html | 504.2 KB |
| Building Machine Learning Systems That Don't Suck (35).html | 504.5 KB |
| Building Machine Learning Systems That Don't Suck (4).html | 477.4 KB |
| Building Machine Learning Systems That Don't Suck (5).html | 442.7 KB |
| Building Machine Learning Systems That Don't Suck (6).html | 474.6 KB |
| Building Machine Learning Systems That Don't Suck (7).html | 474.0 KB |
| Building Machine Learning Systems That Don't Suck (8).html | 470.5 KB |
| Building Machine Learning Systems That Don't Suck (9).html | 472.7 KB |
| Building Machine Learning Systems That Don't Suck.html | 975.8 KB |
| github.txt | 89 bytes |
| LICENSE | 11.1 KB |
| README.md | 39.2 KB |
| cohort.ipynb | 463.3 KB |
| Dockerfile | 495 bytes |
| ml-dependencies.yml | 154 bytes |
| basic-model.png | 165.3 KB |
| condition-step.png | 222.9 KB |
| culmen.jpeg | 268.8 KB |
| data-quality-baseline.png | 92.7 KB |
| deploy-step.png | 225.0 KB |
| deploying-flask.png | 219.2 KB |
| deploying-from-event.png | 171.4 KB |
| deploying-model.png | 184.3 KB |
| diagram.png | 488.6 KB |
| endpoint.png | 156.9 KB |
| evaluation-step.png | 167.1 KB |
| inference-pipeline.png | 243.6 KB |
| model-quality-baseline.png | 231.6 KB |
| penguins.png | 2.8 MB |
| processing-job.png | 294.7 KB |
| processing-step.png | 185.9 KB |
| registration-step.png | 186.4 KB |
| shadow-deployment.png | 245.2 KB |
| training-job.png | 297.0 KB |
| training-step.png | 162.7 KB |
| tuning-job.png | 211.0 KB |
| tuning-step.png | 166.9 KB |
| penguins.flow | 24.4 KB |
| mlflow-cfn.yaml | 2.5 KB |
| mlschool-cfn.yaml | 6.9 KB |
| penguins.csv | 13.2 KB |
| example.env | 769 bytes |
| gitignore | 207 bytes |
| idx-template.json | 689 bytes |
| idx-template.nix | 870 bytes |
| dev.nix | 2.4 KB |
| icon.png | 8.1 KB |
| architecture.png | 655.5 KB |
| monitoring.png | 377.1 KB |
| penguins.png | 2.8 MB |
| training.png | 411.6 KB |
| justfile | 1.9 KB |
| logging.conf | 566 bytes |
| markdownlint.json | 98 bytes |
| mlschool-toc.json | 432 bytes |
| __init__.py | 0 bytes |
| common.py | 5.8 KB |
| deployment.py | 20.8 KB |
| endpoint.py | 10.8 KB |
| inference.py | 9.9 KB |
| monitoring.py | 12.3 KB |
| sagemaker.py | 5.6 KB |
| training.py | 18.6 KB |
| tuning.py | 3.6 KB |
| pyproject.toml | 532 bytes |
| requirements.txt | 214 bytes |
| __init__.py | 0 bytes |
| test_inference.py | 6.5 KB |
| settings.json | 283 bytes |
| cohort.ipynb | 463.3 KB |
| Dockerfile | 495 bytes |
| ml-dependencies.yml | 154 bytes |
| basic-model.png | 165.3 KB |
| condition-step.png | 222.9 KB |
| culmen.jpeg | 268.8 KB |
| data-quality-baseline.png | 92.7 KB |
| deploy-step.png | 225.0 KB |
| deploying-flask.png | 219.2 KB |
| deploying-from-event.png | 171.4 KB |
| deploying-model.png | 184.3 KB |
| diagram.png | 488.6 KB |
| endpoint.png | 156.9 KB |
| evaluation-step.png | 167.1 KB |
| inference-pipeline.png | 243.6 KB |
| model-quality-baseline.png | 231.6 KB |
| penguins.png | 2.8 MB |
| processing-job.png | 294.7 KB |
| processing-step.png | 185.9 KB |
| registration-step.png | 186.4 KB |
| shadow-deployment.png | 245.2 KB |
| training-job.png | 297.0 KB |
| training-step.png | 162.7 KB |
| tuning-job.png | 211.0 KB |
| tuning-step.png | 166.9 KB |
| penguins.flow | 24.4 KB |
Name
DL
Uploader
Size
S/L
Added
-
200.2 MB
[2
/
0]
2023-10-22
| Uploaded by IGGGAMESCOM | Size 200.2 MB | Health [ 2 /0 ] | Added 2023-10-22 |
-
1.4 GB
[11
/
3]
2024-01-11
| Uploaded by FreeCourseWeb | Size 1.4 GB | Health [ 11 /3 ] | Added 2024-01-11 |
-
549.8 MB
[12
/
6]
2023-08-28
| Uploaded by FreeCourseWeb | Size 549.8 MB | Health [ 12 /6 ] | Added 2023-08-28 |
NOTE
SOURCE: Learn to Build Machine Learning Systems That Don t Suck
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COVER
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