Autor: |
Aszani, Aszani, Anwar, Ruslan |
Předmět: |
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Zdroj: |
Structural Equation Modeling; Jan/Feb2024, Vol. 31 Issue 1, p199-203, 5p |
Abstrakt: |
The book "Machine Learning for Social and Behavioral Research" explores the integration of machine learning algorithms in various disciplines, emphasizing data quality and transparency. It covers different machine learning algorithms and their applications in social and behavioral research, including analyzing non-traditional data types. The book also discusses network modeling techniques and provides a comprehensive overview of modern analytical methods. It offers practical guidance and includes R code for replication, but may be challenging for beginners and could benefit from addressing computational challenges and offering a broader spectrum of perspectives. Overall, it is a valuable resource for researchers in the social and behavioral sciences. [Extracted from the article] |
Databáze: |
Complementary Index |
Externí odkaz: |
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