Titlebook: Introducing HR Analytics with Machine Learning; Empowering Practitio Christopher M. Rosett,Austin Hagerty Book 2021 Springer Nature Switzer

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Introducing Machine Learningised versus unsupervised methods, classification versus regression, transparency, overfitting, and others are defined and introduced in preparation for a review of specific techniques in the next chapter.

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The 3 A’s of a Machine Learning Projectcts can be broken down into Appreciate, Assemble, and Adopt phases where the project team learns the business and data context of the proposed project, develops a model which adds value to the business, and then implements and maintains a solution. This chapter introduces the overall philosophy and reviews the Appreciate phase.

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dvantage through data.Explains how machine learning actually.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 or

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siderations 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 domain978-3-030-67628-5978-3-030-67626-1

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Book 2021s 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