Deep learning cookbook (Record no. 7617)

000 -LEADER
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
Holdings
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
          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
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