Regression and Machine Learning for Education Sciences Using R
Regression and Machine Learning for Education Sciences Using R by Cody Dingsen is a comprehensive resource published by Routledge, Chapman & Hall, Incorporated in 2024. This 360-page book offers a conceptual introduction to regression and machine learning, specifically focusing on their applications within education research. It explores how these methodologies can be utilized to predict future events based on current data and to explain various phenomena.
Readers will find a detailed discussion on the diverse applications of regression and machine learning in the context of education, health, and social sciences. The book aims to equip researchers and educators with the tools necessary to understand and apply these techniques effectively. By delving into the intersection of technology and education, this edition serves as a valuable reference for those interested in enhancing their research capabilities in these fields.
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This book provides a conceptual introduction to regression and machine learning and its applications in education research. The book discusses its diverse applications, including its role in predicting future events based on the current data or explaining why some phenomena occur.
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