| 書(shū)目名稱(chēng) | Introducing HR Analytics with Machine Learning |
| 副標(biāo)題 | Empowering Practitio |
| 編輯 | Christopher M. Rosett,Austin Hagerty |
| 視頻video | http://file.papertrans.cn/474/473312/473312.mp4 |
| 概述 | Focuses on applying machine learning to human workplace behavior.Comprehensive introduction for HR professionals.Helps achieve competitive advantage through data.Explains how machine learning actually |
| 圖書(shū)封面 |  |
| 描述 | .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 successfully work with their partners they must go beyond behavioral science into the realms of computing and business acumen. Similarly, today’s data scientists must appreciate the unique aspects of behavioral data and the special circumstances which surround HR data and HR systems. Finally, traditional HR professionals must become familiar with research methods, statistics, and data systems in order to collaborate with these new specialized partners and teams. Despite the increasing importance of this diversity of skill, many organizations are still unprepared to build teams with the comprehensive skills necessary to have high performing HR Analytics functions. And importantly, all these considerations are magnified by the introduction and acceleration of machine learning in HR.. .This book will serve as an introduction to these areas and provide guidance on building the connectivity across domain |
| 出版日期 | Book 2021 |
| 關(guān)鍵詞 | machine learning; big data; people analytics; human resources; workforce analytics; statistical learning; |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-67626-1 |
| isbn_softcover | 978-3-030-67628-5 |
| isbn_ebook | 978-3-030-67626-1 |
| copyright | Springer Nature Switzerland AG 2021 |
|Archiver|手機(jī)版|小黑屋|
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