Deep learning cookbook (Record no. 7617)
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000 -LEADER | |
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fixed length control field | nam a22 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20181029171011.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 181029b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789352137572 |
040 ## - CATALOGING SOURCE | |
Transcribing agency | AIKTC-KRRC |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | ENG |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Edition number | DDC23 |
Classification number | 006.31 |
Item number | OSI |
100 ## - MAIN ENTRY--PERSONAL NAME | |
9 (RLIN) | 4957 |
Personal name | Osinga, Douwe |
245 ## - TITLE STATEMENT | |
Title | Deep learning cookbook |
Remainder of title | : Practical recipes to get started quickly |
250 ## - EDITION STATEMENT | |
Edition statement | 1st |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Navi Mumbai |
Name of publisher, distributor, etc. | |
Date of publication, distribution, etc. | 2018 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xv, 234p. |
Other physical details | | Binding - Paperback | |
Dimensions | 22.8*17.8 cm |
520 ## - SUMMARY, ETC. | |
Summary, etc. | Streaming data is a big deal in big data these days. As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming systems have finally reached a level of maturity sufficient for mainstream adoption. With this practical guide, data engineers, data scientists, and developers will learn how to work with streaming data in a conceptual and platform-agnostic way. Expanded from Tyler Akidau’s popular blog posts ""Streaming 101"" and ""Streaming 102"", this book takes you from an introductory level to a nuanced understanding of the what, where, when, and how of processing real-time data streams. You’ll also dive deep into watermarks and exactly-once processing with co-authors Slava Chernyak and Reuven Lax. |
Expansion of summary note | You’ll explore: How streaming and batch data processing patterns compare The core principles and concepts behind robust out-of-order data processing How watermarks track progress and completeness in infinite datasets How exactly-once data processing techniques ensure correctness How the concepts of streams and tables form the foundations of both batch and streaming data processing The practical motivations behind a powerful persistent state mechanism, driven by a real-world example How time-varying relations provide a link between stream processing and the world of SQL and relational algebra |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
9 (RLIN) | 4619 |
Topical term or geographic name entry element | EXTC Engineering |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | |
Koha item type | Text Books |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Permanent Location | Current Location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Date last checked out | Cost, replacement price | Price effective from | Koha item type | Shelving location |
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Circulation | School of Engineering & Technology | School of Engineering & Technology | 2018-10-30 | 2 | 580.00 | 3 | 006.31 OSI | E14536 | 2024-06-29 | 2023-09-26 | 725.00 | 2018-10-30 | Text Books | ||||||
Circulation | School of Engineering & Technology | School of Engineering & Technology | 2018-10-30 | 2 | 580.00 | 3 | 006.31 OSI | E14537 | 2024-06-29 | 2022-01-01 | 725.00 | 2018-10-30 | Text Books | General Stacks |