Regression and ML for Education Sciences Using R by Cody Dingsen(.PDF)

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File Size: 54.0 MB

Regression and Machine Learning for Education Sciences Using R by Cody Dingsen
Requirements: .ePUB, .PDF reader, 54.0 MB
Overview: This book provides a conceptual introduction to regression analysis and Machine Learning and their applications in education research. It discusses their diverse applications, including its role in predicting future events based on the current data or explaining why some phenomena occur. These identified important predictors provide data-based evidence for educational and psychological decision-making. Offering an applications-oriented approach while mapping out fundamental methodological developments, this book lays a sound foundation for understanding essential regression and Machine Learning concepts for data analytics. The first part of the book discusses regression analysis and provides a sturdy foundation to understand the logic of Machine Learning. With each chapter, the discussion and development of each statistical concept and data analytical technique is presented from an applied perspective, with the statistical results providing insights into decisions and solutions to problems using R. Based on practical examples, and written in a concise and accessible style, the book is learner-centric and does a remarkable job in breaking down complex concepts. Specifically, we discuss the concepts and relationships related to Big Data, Data Science, data analytics, data mining, and Machine Learning.
Genre: Non-Fiction > Tech & Devices

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