Introducing HR Analytics with Machine Learning : Empowering Practitioners, Psychologists, and Organizations /
This book directly addresses the explosion of literature about leveraging analytics with employee data and how organizational psychologists and practitioners can harness new information to help guide positive change in the workplace. In order for today's organizational psychologists to successf...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
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| Edition: | 1st ed. 2021. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Part I: Introducing Machine Learning: Past and Present
- The Historical Lens of Sub-Fields
- The State of the People Data Industry
- Part II: The Science, Philosophy, and Legality of using Machine Learning with People Data
- Scientific Considerations when Working with Behavioral Data
- Legal and Ethical Considerations when Working with Employee Data
- Part III: - Instruction and Application of Machine Learning in an Employee Data Context
- Introduction and Overview of Stats and Computing
- Interpret and communicate
- Data Analyzing
- Data Wrangling.