MARC details
| 000 -LEADER |
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| fixed length control field |
02388nam a2200277Ia 4500 |
| 000 - LEADER |
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| fixed length control field |
03104nam a22003015i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
978-3-662-67882-4 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240319120834.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230831s2023 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783662678824 |
| -- |
978-3-662-67882-4 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
5.7 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Plaue, Matthias. |
| 9 (RLIN) |
30184 |
| 245 ## - TITLE STATEMENT |
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| Title |
Data Science |
| Statement of responsibility, etc. |
by Matthias Plaue. |
| Medium |
[electronic resource] : |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
1st ed. 2023. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Berlin, Heidelberg |
| Name of publisher, distributor, etc. |
Springer Berlin Heidelberg |
| Date of publication, distribution, etc. |
2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XXIV, 361 p. |
| Other physical details |
online resource. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
Data science is the discipline of transforming data into valuable insights. It helps you understand and predict complex and uncertain phenomena, from pandemics to economics. It also drives many influential technologies today, such as web search, image recognition, and AI assistants. This textbook covers the mathematical foundations and core topics of data science in a comprehensive and rigorous way, including data modeling, statistics, probability, and machine learning. You will learn essential tools, like clustering, dimensionality reduction, and neural networks, as well as how to use them to solve real-world problems with actual datasets and exercises. This book is suitable for professionals, students, and instructors who want to master the theory of data science and explore its applications across various domains. The book requires some prior knowledge of calculus and linear algebra but provides a quick review of these topics in the appendix. About the author Matthias Plaue is a versatile researcher with a background in mathematical physics. He has explored diverse domains, spanning from relativity theory to pedestrian dynamics. As a data scientist, he develops algorithms for data analysis and artificial intelligence, tailored to support strategic decision-making. In addition to his professional pursuits, he has devoted considerable time to mentoring students, imparting a deep understanding of mathematics and its practical application in tackling complex problems across the fields of science, technology, and engineering. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Artificial intelligence |
| 9 (RLIN) |
30185 |
|
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| Topical term or geographic name entry element |
Data Science. |
| 9 (RLIN) |
30186 |
|
|---|
| Topical term or geographic name entry element |
Statistics . |
| 9 (RLIN) |
30187 |
|
|---|
| Topical term or geographic name entry element |
Statistics. |
| 9 (RLIN) |
30187 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-3-662-67882-4">https://doi.org/10.1007/978-3-662-67882-4</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
e-Book |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
