Linkedin.Learning.Applied.AI.for.Human.Resources-ZH

Section
Appz
Group
ZH
Size
145,26 MB
Files
6
Date
2020-08-05

NFO

Zieg Heil

Linkedin.Learning.Applied.AI.for.Human.Resources-ZH

     Title: Applied AI for Human Resources
 Publisher: Linkedin.Learning
      Size: 146M (152320634 B)
     Files: 4F
      Date: 08/05/2020

  Course #: Linkedin.Learning
      Type: N/A
 Published: 
  Modified: N/A
       URL: www.linkedin.com/learning/applied-ai-for-human-resources
    Author: Kumaran Ponnambalam
  Duration: N/A
     Skill: N/A
 Exer/Code: [ ]

Installation:
Unpack that shit, run that shit

Of course we know its sieg heil, thats how fucking rebelious we are!

Description:
A global economy and remote workforce have made it difficult for HR
departments to track employee satisfaction and motivation.
However, using artificial intelligence, data scientists and
engineers can now generate powerful insights to improve hiring,
training, retention, and more. This course explores the ways AI and
big data can help HR. Examine three key use cases in the human
resources world: predicting employee attrition, mapping
collaboration, and creating training recommendations. For each of
these use cases, instructor Kumaran Ponnambalam collects and
processes data, builds machine learning models, and predicts key
outcomes using tools like Python, Jupyter Notebooks,
TensorFlow, and Keras. He also briefly explains how to design
models to perform other common HR tasks, such as predicting
future performance, screening candidates, and even tracking
morale. The course concludes with some best practices,
including addressing security and privacy concerns
particular to HR.

Files

PathSize
llaafhr-83cd-zh.nfo1,51 KB
llaafhr-83cd-zh.r0047,68 MB
llaafhr-83cd-zh.r0147,68 MB
llaafhr-83cd-zh.r022,21 MB
llaafhr-83cd-zh.rar47,68 MB
llaafhr-83cd-zh.sfv120 B