MARC details
| 000 -LEADER |
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| fixed length control field |
04890cam a2200601Ii 4500 |
| 001 - CONTROL NUMBER |
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| control field |
ocn953526387 |
| 003 - CONTROL NUMBER IDENTIFIER |
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OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20220712034458.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION |
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| fixed length control field |
m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr unu|||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
160713t20162016enka o 001 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
UMI |
| Language of cataloging |
eng |
| Description conventions |
rda |
| -- |
pn |
| Transcribing agency |
UMI |
| Modifying agency |
YDXCP |
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OCLCF |
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N$T |
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OCLCA |
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DEBBG |
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C6I |
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DEBSZ |
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TEFOD |
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CEF |
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ZCU |
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AGLDB |
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IGB |
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OCLCO |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781786467683 |
| Qualifying information |
(electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
1786467682 |
| Qualifying information |
(electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| Cancelled/invalid ISBN |
1786464470 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| Cancelled/invalid ISBN |
9781786464477 |
| 029 1# - (OCLC) |
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| OCLC library identifier |
DEBBG |
| System control number |
BV043969750 |
| 029 1# - (OCLC) |
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| OCLC library identifier |
DEBSZ |
| System control number |
485802783 |
| 029 1# - (OCLC) |
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| OCLC library identifier |
GBVCP |
| System control number |
882850474 |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(OCoLC)953526387 |
| 037 ## - SOURCE OF ACQUISITION |
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| Stock number |
CL0500000761 |
| Source of stock number/acquisition |
Safari Books Online |
| 037 ## - SOURCE OF ACQUISITION |
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| Stock number |
6002013D-1763-46AB-AE62-A66447F951D7 |
| Source of stock number/acquisition |
OverDrive, Inc. |
| Note |
http://www.overdrive.com |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
QA76.73.P98 |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
COM |
| Subject category code subdivision |
051360 |
| Source |
bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
005.13/3 |
| Edition number |
23 |
| 049 ## - LOCAL HOLDINGS (OCLC) |
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| Holding library |
MAIN |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Joshi, Prateek, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
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| Title |
Python machine learning cookbook : |
| Remainder of title |
100 recipes that teach you how to perform various machine learning tasks in the real world / |
| Statement of responsibility, etc |
Prateek Joshi. |
| 264 #1 - |
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| -- |
Birmingham, UK : |
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Packt Publishing, |
| -- |
2016. |
| 264 #4 - |
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| -- |
©2016 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
1 online resource (1 volume) : |
| Other physical details |
illustrations. |
| 336 ## - |
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text |
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txt |
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rdacontent |
| 337 ## - |
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computer |
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c |
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rdamedia |
| 338 ## - |
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online resource |
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cr |
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rdacarrier |
| 490 1# - SERIES STATEMENT |
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| Series statement |
Quick answers to common problems |
| 588 ## - |
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| -- |
Description based on online resource; title from cover (Safari, viewed July 12, 2016). |
| 500 ## - GENERAL NOTE |
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| General note |
Includes index. |
| 520 8# - SUMMARY, ETC. |
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| Summary, etc |
Annotation |
| Expansion of summary note |
100 recipes that teach you how to perform various machine learning tasks in the real worldAbout This Book*Understand which algorithms to use in a given context with the help of this exciting recipe-based guide*Learn about perceptrons and see how they are used to build neural networks*Stuck while making sense of images, text, speech, and real estate? This guide will come to your rescue, showing you how to perform machine learning for each one of these using various techniquesWho This Book Is ForThis book is for Python programmers who are looking to use machine-learning algorithms to create real-world applications. This book is friendly to Python beginners, but familiarity with Python programming would certainly be useful to play around with the code.What You Will Learn*Explore classification algorithms and apply them to the income bracket estimation problem*Use predictive modeling and apply it to real-world problems*Understand how to perform market segmentation using unsupervised learning*Explore data visualization techniques to interact with your data in diverse ways*Find out how to build a recommendation engine*Understand how to interact with text data and build models to analyze it*Work with speech data and recognize spoken words using Hidden Markov Models*Analyze stock market data using Conditional Random Fields*Work with image data and build systems for image recognition and biometric face recognition*Grasp how to use deep neural networks to build an optical character recognition systemIn DetailMachine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more.With this book, you will learn how to perform various machine learning tasks in different environments. We'll start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the book, you'll use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms.You'll discover how to deal with various types of data and explore the differences between machine learning paradigms such as supervised and unsupervised learning. We also cover a range of regression techniques, classification algorithms, predictive modeling, data visualization techniques, recommendation engines, and more with the help of real-world examples. |
| 590 ## - LOCAL NOTE (RLIN) |
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| Local note |
eBooks on EBSCOhost |
| Provenance (VM) [OBSOLETE] |
EBSCO eBook Subscription Academic Collection - Worldwide |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Python (Computer program language) |
| 9 (RLIN) |
63272 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning. |
| 9 (RLIN) |
90912 |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Python (Langage de programmation) |
| 9 (RLIN) |
917996 |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Apprentissage automatique. |
| 9 (RLIN) |
869505 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
COMPUTERS / Programming Languages / Python |
| Source of heading or term |
bisacsh |
| 9 (RLIN) |
856604 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning. |
| Source of heading or term |
fast |
| -- |
(OCoLC)fst01004795 |
| 9 (RLIN) |
90912 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Python (Computer program language) |
| Source of heading or term |
fast |
| -- |
(OCoLC)fst01084736 |
| 9 (RLIN) |
63272 |
| 655 #4 - INDEX TERM--GENRE/FORM |
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| Genre/form data or focus term |
Electronic books. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
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| Uniform title |
Quick answers to common problems. |
| 9 (RLIN) |
871615 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1285067">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1285067</a> |
| 938 ## - |
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YBP Library Services |
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YANK |
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13076368 |
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EBSCOhost |
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EBSC |
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1285067 |
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92 |
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INOPJ |
