| Week | Topic and Papers | Slides, Videos; Review Forms, Deadlines |
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0 | Introduction, ML Lifecycle Overview, and Basics | Slides: PDF PPTX |
| Readings: SIGMOD tutorial 1, SIGMOD tutorial 2, Berkeley report | |
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1-2 | Topic 1: Classical ML Training at Scale | Slides: PDF PPTX |
| For review: Parameter Server | Review 1 Form; due Sep 30 |
| For review: XGBoost | Review 2 Form; due Oct 7 |
| More readings: MADlib, MLlib, Mahout, GraphLab, AWS Sagemaker | - |
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3-4 | Topic 2: Deep Learning Systems | Slides: PDF PPTX |
| For review: TensorFlow (Talk slides) | Review 3 Form; due Oct 12 |
| For review: TVM | Review 4 Form; due Oct 19 |
| More readings: Horovod, Distributed PyTorch | - |
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5-6 | Topic 3: Feature Engineering and Model Selection Systems | Slides: PDF PPTX |
| For review: Cerebro | Review 5 Form; due Oct 26 |
| More readings: MSMS, Hyperband, ASHA, Vizier, Columbus, Nautilus | - |
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6 | Review Discussion 1 on Mon, Nov 1 (Zoom only) | Slides: PDF |
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6 | Midterm Exam on Thu, Nov 4 | - |
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7 | Industry Guest Lecture by Chip Huyen on Nov 9 (Zoom only) | Slides PDF |
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6-8 | Topic 4: Data Sourcing and Organization for ML | Slides: PDF PPTX |
| For review: Deequ | Review 6 Form; due Nov 11 |
| More readings:SortingHat, Hamlet, TFDV, Snorkel, Ground | - |
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8-9 | Topic 5: ML Platforms and Feature Stores | Slides: PDF PPTX |
| For review: ML systems technical debt | Review 7 Form; due Nov 16 |
| For review: TensorFlow Extended | Review 8 Form; due Nov 18 |
| More readings: MLFlow, Michelangelo | - |
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N/A | (Skipped) Topic 6: ML Deployment | Slides: PDF PPTX |
| | For review: Clipper | Review 9 Form; due Nov 23 |
| More readings: TF Serving, Uber PyML, Hummingbird, Federated ML | - |
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9 | Thanksgiving Holiday on Thu, Nov 25 | - |
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10 | Review Discussion 2 on Mon, Nov 29 (Zoom only) | Slides: PDF |
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10 | Industry Guest Lecture by Goku Mohandas on Tue, Nov 30 | Slides PDF |
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10 | Project Presentations on Thu, Dec 2 | |
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11 | Final Exam on Fri, Dec 10 | -
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