DevOps for Data Scientists
DevOps for Data Scientists
Electronic Video - 2018
Learn the principles of supporting DevOps and how to apply them to data science.
محفوظ في:
Holdings -
| مؤلف مشترك: | |
|---|---|
| مؤلفون آخرون: | |
| التنسيق: | الكتروني الفيديو |
| اللغة: | English |
| منشور في: |
Carpenteria, CA
linkedin.com,
2018.
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| الموضوعات: | |
| الوصول للمادة أونلاين: | View course details on linkedin.com/learning |
MARC
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| 100 | 1 | |a Sullivan, Dan |e speaker. | |
| 245 | 1 | 0 | |a DevOps for Data Scientists. |c with Dan Sullivan |
| 264 | 1 | |a Carpenteria, CA |b linkedin.com, |c 2018. | |
| 306 | |a 00h:32m:16s | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 500 | |a 5/10/201812:00:00AM | ||
| 520 | |a Learn the principles of supporting DevOps and how to apply them to data science. | ||
| 511 | 1 | |a Presenter: Dan Sullivan | |
| 520 | |a Data scientists create data models that need to run in production environments. Many DevOps practices are relevant to production-oriented data science applications, but these practices are often overlooked in data science training. In addition, data science and machine learning have distinct requirements, such as the need to revise models while in use. This course was designed for data scientists who need to support their models in production, as well as for DevOps professionals who are tasked with supporting data science and machine learning applications. Learn about key data science development practices, including the testing and validation of data science models. This course also covers how to use the Predictive Model Markup Language (PMML), monitor models in production, work with Docker containers, and more. | ||
| 538 | |a Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection. | ||
| 655 | 4 | |a Instructional films. |2 lcgft | |
| 655 | 4 | |a Educational films. |2 lcgft | |
| 710 | 2 | |a linkedin.com (Firm) | |
| 856 | 4 | 0 | |u https://www.linkedin.com/learning/devops-for-data-scientists?u=95224889&auth=true |z View course details on linkedin.com/learning |
| 092 | |a ONLINE CLASS | ||