Fundamentals of data science / (Record no. 29936)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03014cam a22004697i 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 211007s2022 flu ob 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780429443237 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 0429443234 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780429811470 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 0429811470 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780429811456 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 0429811454 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780429811463 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 0429811462 |
| 100 1# - MAIN ENTRY--AUTHOR | |
| Author | Wagh, Sanjeev, |
| 245 10 - TITLE STATEMENT | |
| Title | Fundamentals of data science / |
| Statement of responsibility, etc | Sanjeev J. Wagh, Manisha S. Bhende, and Anuradha D. Thakare. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 300 ## - COLLATION | |
| Pagination | 1 online resource (xiv, 282 pages) |
| 500 ## - GENERAL NOTE | |
| General note | "A Chapman & Hall book." |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science. Data Science is an umbrella term for the non-traditional techniques and technologies that are required to collect, aggregate, process, and gain insights from massive datasets. This book offers all the processes, methodologies, various steps like data acquisition, pre-process, mining, prediction, and visualization tools for extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes Readers will learn the steps necessary to create the application with SQl, NoSQL, Python, R, Matlab, Octave and Tablue. This book provides a stepwise approach to building solutions to data science applications right from understanding the fundamentals, performing data analytics to writing source code. All the concepts are discussed in simple English to help the community to become Data Scientist without much pre-requisite knowledge. Features : Simple strategies for developing statistical models that analyze data and detect patterns, trends, and relationships in data sets. Complete roadmap to Data Science approach with dedicatedsections which includes Fundamentals, Methodology and Tools. Focussed approach for learning and practice various Data Science Toolswith Sample code and examples for practice. Information is presented in an accessible way for students, researchers and academicians and professionals. |
| 650 #0 - TRACINGS | |
| Main Subject | Databases. |
| 650 #0 - TRACINGS | |
| Main Subject | Information retrieval. |
| 650 #0 - TRACINGS | |
| Main Subject | Data mining. |
| 650 #0 - TRACINGS | |
| Main Subject | Machine learning. |
| 650 #6 - TRACINGS | |
| Main Subject | Recherche de l'information. |
| 650 #6 - TRACINGS | |
| Main Subject | Exploration de données (Informatique) |
| 650 #6 - TRACINGS | |
| Main Subject | Apprentissage automatique. |
| 650 #7 - TRACINGS | |
| Main Subject | information retrieval. |
| 650 #7 - TRACINGS | |
| Main Subject | BUSINESS & ECONOMICS |
| Subdivision (2nd) | Statistics. |
| 650 #7 - TRACINGS | |
| Main Subject | COMPUTERS |
| Subdivision (2nd) | Computer Graphics |
| -- | Game Programming & Design. |
| 650 #7 - TRACINGS | |
| Main Subject | COMPUTERS |
| Subdivision (2nd) | Database Management |
| -- | General. |
| 650 #7 - TRACINGS | |
| Main Subject | Data mining. |
| 650 #7 - TRACINGS | |
| Main Subject | Databases. |
| 650 #7 - TRACINGS | |
| Main Subject | Information retrieval. |
| 650 #7 - TRACINGS | |
| Main Subject | Machine learning. |
| 700 1# - ADDITIONAL AUTHOR | |
| Additional Author | Bhende, Manisha, |
| 700 1# - ADDITIONAL AUTHOR | |
| Additional Author | Thakare, Anuradha, |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Item type | Books |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA76.9 |
| Item number | .D3 2022 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.74 |
| Source of classification or shelving scheme | Not for loan | Permanent location | Current location | Date acquired | Barcode. | Koha item type |
|---|---|---|---|---|---|---|
| Library of Congress Classification | COLCOMPS | COLCOMPS | 04/27/2026 | 2026-215390 | Books | |
| Library of Congress Classification | Main LIbrary | Main LIbrary | 04/27/2026 | 2026-215388 | Books | |
| Library of Congress Classification | Main LIbrary | Main LIbrary | 04/27/2026 | 2026-215389 | Books |