Effective Data Science Infrastructure, Video Edition
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11:28:14
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Chapter 1. Human-centric infrastructure.mp4
09:10
Chapter 1. Introducing data science infrastructure.mp4
14:43
Chapter 1. Summary.mp4
01:32
Chapter 1. What is data science infrastructure.mp4
16:17
Chapter 1. Why good infrastructure matters.mp4
12:07
Chapter 2. Introducing workflows.mp4
19:57
Chapter 2. Summary.mp4
01:27
Chapter 2. The toolchain of data science.mp4
33:13
Chapter 3. Branching and merging.mp4
25:14
Chapter 3. Introducing Metaflow.mp4
47:35
Chapter 3. Metaflow in Action.mp4
27:19
Chapter 3. Summary.mp4
01:21
Chapter 4. Handling failures.mp4
14:39
Chapter 4. Scaling with the compute layer.mp4
21:38
Chapter 4. Summary.mp4
01:17
Chapter 4. The compute layer.mp4
34:26
Chapter 4. The compute layer in Metaflow.mp4
24:10
Chapter 5. Practicing horizontal scalability.mp4
12:25
Chapter 5. Practicing performance optimization.mp4
25:14
Chapter 5. Practicing scalability and performance.mp4
31:48
Chapter 5. Summary.mp4
01:18
Chapter 6. Going to production.mp4
29:48
Chapter 6. Stable execution environments.mp4
40:53
Chapter 6. Stable operations.mp4
26:31
Chapter 6. Summary.mp4
01:19
Chapter 7. From data to features.mp4
17:01
Chapter 7. Interfacing with data infrastructure.mp4
38:09
Chapter 7. Processing data.mp4
39:15
Chapter 7. Summary.mp4
01:48
Chapter 8. Summary.mp4
01:27
Chapter 8. Using and operating models.mp4
56:32
Chapter 9. Deep regression model.mp4
25:40
Chapter 9. Machine learning with the full stack.mp4
27:38
Chapter 9. Summarizing lessons learned.mp4
04:29
Chapter 9. Summary.mp4
00:54
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View courses UdemyStudents take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
- language english
- Training sessions 35
- duration 11:28:14
- Release Date 2024/11/03
