Screen LibraryEffective data science infrastructure : how to make data scientists productive /
Effective Data Science Infrastructure teaches you to build data pipelines and project workflows that will supercharge data scientists and their projects. Based on state-of-the-art tools and concepts that power data operations of Netflix, this book introduces a customizable cloud-based approach to mo...
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| Main Authors: | |
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| Group Author: | |
| Published: |
Manning Publications,
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| Publisher Address: | Shelter Island : |
| Publication Dates: | [2022] |
| Literature type: | Book |
| Language: | English |
| Subjects: | |
| Summary: |
Effective Data Science Infrastructure teaches you to build data pipelines and project workflows that will supercharge data scientists and their projects. Based on state-of-the-art tools and concepts that power data operations of Netflix, this book introduces a customizable cloud-based approach to model development and MLOps that you can easily adapt to your company's specific needs. As you roll out these practical processes, your teams will produce better and faster results when applying data science and machine learning to a wide array of business problems. |
| Item Description: | Includes index. |
| Carrier Form: | xvi, 333 pages : illustrations ; 24 cm |
| ISBN: |
9781617299193 1617299197 |
| Index Number: | QA76 |
| CLC: | TP311.131 |
| Call Number: | TP311.131/T967 |
| Contents: | 1. Introducing data science infrastructure -- 2. The toolchain of data science -- 3. Introducing Metaflow -- 4. Scaling with the compute layer -- 5. Practicing scalability and performance -- 6. Going to production -- 7. Processing data -- 8. Using and operating models -- 9. Machine learning with the full stack. |