MARC details
| 000 -LEADER |
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| fixed length control field |
03099nam a2200313Ia 4500 |
| 000 - LEADER |
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| fixed length control field |
03691nam a22003375i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
978-3-031-17442-1 |
| 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 |
20240319120826.0 |
| 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 |
230402s2023 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783031174421 |
| -- |
978-3-031-17442-1 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
6.312 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Qamar, Usman. |
| 9 (RLIN) |
29825 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Data Science Concepts and Techniques with Applications |
| Statement of responsibility, etc. |
by Usman Qamar, Muhammad Summair Raza. |
| Medium |
[electronic resource] / |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
2nd ed. 2023. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cham |
| Name of publisher, distributor, etc. |
Springer International Publishing |
| Date of publication, distribution, etc. |
2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XXIV, 474 p. 70 illus. in color. |
| Other physical details |
online resource. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. The chapters of this book are organized into three parts: The first part (chapters 1 to 3) is a general introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics, followed by presentation of a wide range of applications and widely used techniques in data science. The second part, which has been updated and considerably extended compared to the first edition, is devoted to various techniques and tools applied in data science. Its chapters 4 to 10 detail data pre-processing, classification, clustering, text mining, deep learning, frequent pattern mining, and regression analysis. Eventually, the third part (chapters 11 and 12) present a brief introduction to Python and R, the two main data science programming languages, and shows in a completely new chapter practical data science in the WEKA (Waikato Environment for Knowledge Analysis), an open-source tool for performing different machine learning and data mining tasks. An appendix explaining the basic mathematical concepts of data science completes the book. This textbook is suitable for advanced undergraduate and graduate students as well as for industrial practitioners who carry out research in data science. They both will not only benefit from the comprehensive presentation of important topics, but also from the many application examples and the comprehensive list of further readings, which point to additional publications providing more in-depth research results or provide sources for a more detailed description of related topics. "This book delivers a systematic, carefully thoughtful material on Data Science." from the Foreword by Witold Pedrycz, U Alberta, Canada. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Artificial intelligence. |
| 9 (RLIN) |
29826 |
|
|---|
| Topical term or geographic name entry element |
Artificial Intelligence. |
| 9 (RLIN) |
29827 |
|
|---|
| Topical term or geographic name entry element |
Data Analysis and Big Data. |
| 9 (RLIN) |
29828 |
|
|---|
| Topical term or geographic name entry element |
Data Mining and Knowledge Discovery. |
| 9 (RLIN) |
29829 |
|
|---|
| Topical term or geographic name entry element |
Data mining. |
| 9 (RLIN) |
29830 |
|
|---|
| Topical term or geographic name entry element |
Quantitative research. |
| 9 (RLIN) |
29831 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Raza, Muhammad Summair. |
| 9 (RLIN) |
29832 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-3-031-17442-1">https://doi.org/10.1007/978-3-031-17442-1</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
e-Book |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
