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Item #:
91354494
Statistical Learning and Modeling in Data Analysis: Methods and Applications (Studies in Classification, Data Analysis, and Knowledge Organization)
Item #:
91354494
KZT 117337
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What Stands Out
Comprehensive Coverage
This book offers an extensive overview of statistical learning methods, making it an essential resource for both beginners and advanced practitioners in data analysis.
Practical Applications
It provides real-world applications of statistical models, helping readers to understand how to implement these techniques effectively in various data analysis scenarios.
Interdisciplinary Approach
By bridging statistical theory with practical data science, the book appeals to a diverse audience, including data analysts, researchers, and students from multiple disciplines.
Product Details
| Publisher | Springer |
| Publication date | July 14, 2021 |
| Edition | 1st ed. 2021 |
| Language | English |
| Print length | 192 pages |
| ISBN-10 | 3030699439 |
| ISBN-13 | 978-3030699437 |
| Item Weight | 10.7 ounces (303.35 grams) |
| Dimensions | 6.1 x 0.44 x 9.25 inches (15.5 x 1.1 x 23.5 cm) |
Who Should Buy?
-
Data Scientists
This book offers advanced methodologies useful for data scientists in enhancing their analytical skills and knowledge.
-
Students and Researchers
Ideal for students studying statistical learning and modeling, providing foundational methods for future research applications.
-
Business Analysts
Helps business analysts in applying statistical methods to improve data-driven decision-making and predictive modeling.
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Beginners in Statistics
Not suitable for beginners, as it assumes prior knowledge of statistical concepts and advanced analytical skills.
Product Description
Statistical Learning and Modeling in Data Analysis: Methods and Applications (Studies in Classification, Data Analysis, and Knowledge Organization)
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