Introducing Hr Analytics With Machine Learning PDF Books

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Introducing Hr Analytics With Machine Learning

Introducing Hr Analytics With Machine Learning
Author: Christopher M. Rosett
Publisher: Springer Nature
ISBN: 3030676269
Size: 45.86 MB
Format: PDF, ePub
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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 domains required to establish well-rounded skills for individuals and best practices for organizations when beginning to apply advanced analytics to workforce data. It will also introduce machine learning and where it fits within the larger HR Analytics framework by explaining many of its basic tenets and methodologies. By the end of the book, readers will understand the skills required to do advanced HR analytics well, as well as how to begin designing and applying machine learning within a larger human capital strategy.
Introducing HR Analytics with Machine Learning
Language: en
Pages: 271
Authors: Christopher M. Rosett, Austin Hagerty
Categories: Psychology
Type: BOOK - Published: 2021-10-03 - Publisher: Springer Nature
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
Intelligent Manufacturing and Energy Sustainability
Language: en
Pages:
Authors: A. N. R. Reddy
Categories: Psychology
Type: BOOK - Published: - Publisher: Springer Nature
Books about Intelligent Manufacturing and Energy Sustainability
Systems, Software and Services Process Improvement
Language: en
Pages: 851
Authors: Murat Yilmaz, Jörg Niemann, Paul Clarke, Richard Messnarz
Categories: Application software
Type: BOOK - Published: 2020 - Publisher: Springer Nature
This volume constitutes the refereed proceedings of the 27th European Conference on Systems, Software and Services Process Improvement, EuroSPI conference, held in Düsseldorf, Germany, in September 2020*. The 50 full papers and 13 short papers presented were carefully reviewed and selected from 100 submissions. They are organized in topical sections
Introduction to HR Technologies
Language: en
Pages: 208
Authors: Stacey Harris
Categories: Business & Economics
Type: BOOK - Published: 2021-07-03 - Publisher: Kogan Page Publishers
Technology can have huge benefits for the HR function. Whether it's saving time by streamlining processes, boosting engagement by enabling analysis of people data or improving employee development by allowing staff to access the content they need on different platforms, wherever and whenever they need it; the opportunities are vast.
Predictive HR Analytics
Language: en
Pages: 536
Authors: Martin Edwards, Kirsten Edwards
Categories: Business & Economics
Type: BOOK - Published: 2019 - Publisher: Kogan Page
Confidently use predictive analytic and statistical techniques to identify key relationships and trends in HR-related data to aid strategic organizational decision-making.
Introduction to People Analytics
Language: en
Pages: 350
Authors: Nadeem Khan, Dave Millner
Categories: Business & Economics
Type: BOOK - Published: 2020-04-03 - Publisher: Kogan Page Publishers
An understanding of people analytics is a crucial skill for all HR professionals. No longer limited to employees in data teams or those with analyst in their job titles, people analytics is now an integral part of every HR job. Introduction to People Analytics allows all HR professionals to get
Artificial Intelligence, Machine Learning, and Data Science Technologies
Language: en
Pages: 310
Authors: Neeraj Mohan, Ruchi Singla, Priyanka Kaushal, Seifedine Kadry
Categories: Technology & Engineering
Type: BOOK - Published: 2021-10-12 - Publisher: CRC Press
This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, and how all countries around the world are feeling this impact.
Introduction to Machine Learning
Language: en
Pages: 200
Authors: Jeeva Jose
Categories: Computers
Type: BOOK - Published: - Publisher: KHANNA PUBLISHING HOUSE
AICTE recommended book for Indian Universities and Autonomous colleges. This book can be used as a self-study material or for instructor assisted teaching. Frequent questions for interviews and examinations are provided.
Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches
Language: en
Pages: 250
Authors: K. Gayathri Devi, Mamata Rath, Nguyen Thi Dieu Linh
Categories: Computers
Type: BOOK - Published: 2020-10-07 - Publisher: CRC Press
Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems. The book focuses on concepts
Predictive Analytics in Human Resource Management
Language: en
Pages: 216
Authors: Shivinder Nijjer, Sahil Raj
Categories: Business & Economics
Type: BOOK - Published: 2020-12-04 - Publisher: Taylor & Francis
This volume is a step-by-step guide to implementing predictive data analytics in human resource management (HRM). It demonstrates how to apply and predict various HR outcomes which have an organisational impact, to aid in strategising and better decision-making. The book: Presents key concepts and expands on the need and role