Main Menu

 Home 

 Software 
    - Driver 
    - Graphic & Design 
    - Internet 
    - MacOSX 
    - Multimedia 
    - Office 
    - Portable 
    - Security 
    - System 

 Music 
    - Mp3 
    - Music Video 

 Games 
    - PC 
    - Console 

 Books 
    - Audiobook 
    - Comic 
    - eBook 
    - Magazine 
    - Video Training 

 Movies 
    - Amine 
    - Cam 
    - DVD 
    - HD/BluRay 
    - TV Show 
    - Documentary 

 Graphics 
    - 3D Model 
    - icon 
    - Font 
    - Footage 
    - Photoshop 
    - Template 
    - Vector 
    - Stock 
    - Script/Plugin 
    - Wallpaper 

 Mobile 
    - iOS 
    - Android 
 
 
 
   Books / Video Training : DevOps for Data Scientists
DevOps for Data Scientists
MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch | Duration: 32m 16s | 52.4 MB
Genre: eLearning | Language: English | Level: Intermediate


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.

Topics include:
Using Git for version control
Incorporating model testing into the deployment process
Working with the Predictive Model Markup Language
Securing the data science models in production
Monitoring models in production
Creating a Dockerfile for data science models

DevOps for Data Scientists


Download link:


Links are Interchangeable - No Password - Single Extraction
 

 

Back to Top