Big Data Analytics Methods : (Record no. 84408)
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|---|---|
| fixed length control field | 05718nam a22009495i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9781547401567 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730161520.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230127t20192020gw fo d z eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781547401567 |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | |
| 084 ## - OTHER CLASSIFICATION NUMBER | |
| -- | (DE-625)rvk/143679: |
| 100 1# - AUTHOR NAME | |
| Author | Ghavami, Peter, |
| 245 10 - TITLE STATEMENT | |
| Title | Big Data Analytics Methods : |
| Sub Title | Analytics Techniques in Data Mining, Deep Learning and Natural Language Processing / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd Edition |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (XVI, 238 p.) |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics. The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. It discusses data visualization, prediction, optimization, artificial intelligence, regression analysis, the Cox hazard model and many analytics using case examples with applications in the healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services industries. This book's state of the art treatment of advanced data analytics methods and important best practices will help readers succeed in data analytics. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1515/9781547401567 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.degruyter.com/isbn/9781547401567 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.degruyter.com/document/cover/isbn/9781547401567/original |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Berlin ; |
| -- | Boston : |
| -- | De Gruyter, |
| -- | [2019] |
| 264 #4 - | |
| -- | ©2020 |
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| -- | online resource |
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| 588 0# - | |
| -- | Description based on online resource; title from PDF title page (publisher's Web site, viewed 27. Jan 2023) |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | BUSINESS & ECONOMICS / Information Management. |
| 912 ## - | |
| -- | 978-3-11-061015-4 EBOOK PACKAGE Engineering, Computer Sciences 2019 English |
| -- | 2019 |
| 912 ## - | |
| -- | 978-3-11-061076-5 EBOOK PACKAGE COMPLETE 2019 English |
| -- | 2019 |
| 912 ## - | |
| -- | 978-3-11-069627-1 DG Plus DeG Package 2020 Part 1 |
| -- | 2020 |
| 912 ## - | |
| -- | 978-3-11-069628-8 DG Ebook Package English 2020 |
| -- | 2020 |
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