Chong Ho Alex Yu

Data Mining and Exploration (eBook, PDF)

From Traditional Statistics to Modern Data Science

• Format: PDF

Produktbeschreibung

This book covers both conceptual and procedural aspects of cutting-edge data mining methods, and the path for transitioning from classical statistics and modern data science. Readers will learn how various open source and commercial software modules can be properly applied to different situations.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 290
• Erscheinungstermin: 27. Oktober 2022
• Englisch
• ISBN-13: 9781000777796
• Artikelnr.: 64376416

Autorenporträt

Chong Ho Alex Yu has a Ph.D. in Educational Psychology with a focus on Measurement, Statistics, and Methodological Studies, and a Ph.D. in Philosophy with specialization in History and Philosophy of Science (Arizona State University). He joined Azusa Pacific University in 2012 and has served in various positions, including Director of Data Analytics, Professor of Behavioural and Applied Science, Adjunct Faculty of Mathematics, Quantitative Research Consultant, and Committee chair of the Big Data Discovery Summit.

Inhaltsangabe

1. Re-examination of Traditional Statistics 2. Why Data Science? 3. Cutting
Edge Data Analytical Tools 4. Exploratory Data Analysis and Data
Visualization: Pattern Seeking 5. Generalized Regression: Penalty against
Complexity 6. Classification and Model Screening 7. Ensemble Methods: The
Wisdom of the Crowd 8. Dimension Reduction: Breaking the Curse of
Dimensionality 9. Clustering: Divide and Conquer 10. Neural Networks:
Machines Mimic Human Intelligence 11. Text Mining: Structure the
Unstructured