Lynda DevOps for Data Scientists Conclusion 17 Overview of DevOps best practices for data science en srt

Lynda DevOps for Data Scientists
Conclusion 17 Overview of DevOps best practices for data science en srt

Name	Lynda - DevOps for Data Scientists	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	56.1 MB
Total Files	34
Hash	F07EB5BF31CA2CFFF54765FCD8BE683B372E09A8

/6.Conclusion/17.Overview of DevOps best practices for data science.en.srt	3.0 KB
/6.Conclusion/17.Overview of DevOps best practices for data science.mp4	2.6 MB
/1.Introduction/02.Target audience.en.srt	1.1 KB
/4.3. Deployment Practices/11.Canary deployments.en.srt	2.3 KB
/4.3. Deployment Practices/11.Canary deployments.mp4	1.8 MB
/1.Introduction/02.Target audience.mp4	831.7 KB
/3.2. Data Science Models to Production/07.Version control for data science models.en.srt	4.7 KB
/4.3. Deployment Practices/10.Deploying to staging environment.en.srt	2.0 KB
/1.Introduction/01.Welcome.en.srt	2.2 KB
/5.4. Data Science Models in Containers/14.Introduction to Docker.en.srt	2.7 KB
/2.1. Data Science Development Practices/04.Collecting and munging data.en.srt	4.4 KB
/2.1. Data Science Development Practices/06.Testing and validating models.en.srt	2.9 KB
/3.2. Data Science Models to Production/07.Version control for data science models.mp4	4.3 MB
/4.3. Deployment Practices/13.Monitoring models in production.en.srt	4.4 KB
/5.4. Data Science Models in Containers/15.Creating a Dockerfile for data science models.en.srt	4.2 KB
Showing first 15 files of 34 total files