Advanced analytics with Spark. (Record no. 8831)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01584nam a22003137a 4500 |
| 001 - CONTROL NUMBER | |
| control field | WIIW0000174 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20190802144346.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | a|||||q|||||00| 0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190802t2017 |||||q|||||00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1-4919-7295-5 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 978-1-4919-7295-3 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | OSt |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ryza, Sandy |
| Relator code | aut |
| 245 00 - TITLE STATEMENT | |
| Title | Advanced analytics with Spark. |
| Remainder of title | Patterns for learning from data at scale |
| 250 ## - EDITION STATEMENT | |
| Edition statement | Second edition |
| 260 #1 - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Beijing |
| Name of publisher, distributor, etc. | O'Reilly |
| Date of publication, distribution, etc. | [2017] |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XII, 264 S. |
| Other physical details | Ill. |
| 506 ## - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Lizenzbedingungen können den Zugang einschränken. License restrictions may limit access. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by presenting examples and a set of self-contained patterns for performing large-scale data analysis with Spark. You'll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques-classification, collaborative filtering, and anomaly detection among others-to fields such as genomics, security, and finance. If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you'll find these patterns useful for working on your own data applications. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data Analyses & Machine Learning |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Big data |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data mining |
| General subdivision | Computer programs |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Laserson, Uri |
| Relator code | aut |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Owen, Sean |
| Relator code | aut |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Wills, Josh |
| Relator code | aut |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | E-Book |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| WIIW | WIIW | Electronic Resources | 08/02/2019 | 08/02/2019 | 08/02/2019 | E-Book |