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Dimensionality Reduction in Data Science by Max Garzon (English) Hardcover Book
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- Buy It NowDimensionality Reduction in Data Science by Max Garzon (English) Hardcover Book
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eBay item number:386898659400
Item specifics
- Condition
- ISBN-13
- 9783031053702
- Book Title
- Dimensionality Reduction in Data Science
- ISBN
- 9783031053702
- Subject Area
- Computers, Mathematics
- Publication Name
- Dimensionality Reduction in Data Science
- Publisher
- Springer International Publishing A&G
- Item Length
- 9.3 in
- Subject
- Probability & Statistics / General, Intelligence (Ai) & Semantics, General, Databases / Data Mining
- Publication Year
- 2022
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Weight
- 20.7 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xi, 265 Pages
About this product
Product Information
This book provides a practical and fairly comprehensive review of Data Science through the lens of dimensionality reduction, as well as hands-on techniques to tackle problems with data collected in the real world. State-of-the-art results and solutions from statistics, computer science and mathematics are explained from the point of view of a practitioner in any domain science, such as biology, cyber security, chemistry, sports science and many others. Quantitative and qualitative assessment methods are described to implement and validate the solutions back in the real world where the problems originated. The ability to generate, gather and store volumes of data in the order of tera- and exo bytes daily has far outpaced our ability to derive useful information with available computational resources for many domains. This book focuses on data science and problem definition, data cleansing, feature selection and extraction,statistical, geometric, information-theoretic, biomolecular and machine learning methods for dimensionality reduction of big datasets and problem solving, as well as a comparative assessment of solutions in a real-world setting. This book targets professionals working within related fields with an undergraduate degree in any science area, particularly quantitative. Readers should be able to follow examples in this book that introduce each method or technique. These motivating examples are followed by precise definitions of the technical concepts required and presentation of the results in general situations. These concepts require a degree of abstraction that can be followed by re-interpreting concepts like in the original example(s). Finally, each section closes with solutions to the original problem(s) afforded by these techniques, perhaps in various ways to compare and contrast dis/advantages to other solutions.
Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-10
3031053702
ISBN-13
9783031053702
eBay Product ID (ePID)
24057267131
Product Key Features
Number of Pages
Xi, 265 Pages
Language
English
Publication Name
Dimensionality Reduction in Data Science
Publication Year
2022
Subject
Probability & Statistics / General, Intelligence (Ai) & Semantics, General, Databases / Data Mining
Type
Textbook
Subject Area
Computers, Mathematics
Format
Hardcover
Dimensions
Item Weight
20.7 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Dewey Edition
23
Number of Volumes
1 Vol.
Illustrated
Yes
Dewey Decimal
005.7
Lc Classification Number
Qa76.9.D343
Table of Content
1. What is Data Science (DS)?.- 2. Solutions to Data Science Problems.- 3. What is Dimensionality Reduction (DR)?.- 4. Conventional Statistical Approaches.- 5. Geometric Approaches.- 6. Information-theoretic Approaches.- 7. Molecular Computing Approaches.- 8. Statistical Learning Approaches.- 9. Machine Learning Approaches.- 10. Metaheuristics of DR Methods.- 11. Appendices.
Copyright Date
2022
Item description from the seller
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eBay item number:386898659400
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