Machine learning for social and behavioral research / Ross Jacobucci, Kevin J. Grimm, Zhiyong Zhang.
| Author/creator | Jacobucci, Ross author. |
| Format | Book |
| Publication | New York, NY : The Guilford Press, a division of Guilford Publications, Inc., [2023] |
| Description | xvi, 416 pages : illustrations ; 27 cm. |
| Subjects |
| Series | Methodology in the social sciences Methodology in the social sciences. ^A406768 |
| Abstract | "Over the past 20 years, there has been an incredible change in the size, structure, and types of data collected in the social and behavioral sciences. Thus, social and behavioral researchers have increasingly been asking the question: "What do I do with all of this data?" The goal of this book is to help answer that question. It is our viewpoint that in social and behavioral research, to answer the question "What do I do with all of this data?", one needs to know the latest advances in the algorithms and think deeply about the interplay of statistical algorithms, data, and theory. An important distinction between this book and most other books in the area of machine learning is our focus on theory"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Issued in other form | ebook version : 9781462552948 |
| LCCN | 2023005151 |
| ISBN | 9781462552924 |
| ISBN | 1462552927 paperback |
| ISBN | 9781462552931 hardcover |
| ISBN | 1462552935 hardcover |
| ISBN | electronic book |