Machine learning in Python : (Record no. 12194)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 06293cam a2200949 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | ocn906699047 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240523125538.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu|||unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 150407t20152015inua ob 001 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | N$T |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | N$T |
| Modifying agency | N$T |
| -- | IDEBK |
| -- | E7B |
| -- | CDX |
| -- | YDXCP |
| -- | COO |
| -- | UMI |
| -- | RECBK |
| -- | DEBBG |
| -- | OCLCF |
| -- | DG1 |
| -- | TEFOD |
| -- | DEBSZ |
| -- | IDB |
| -- | DG1 |
| -- | Z5A |
| -- | LIP |
| -- | VGM |
| -- | ZCU |
| -- | OCLCQ |
| -- | MERUC |
| -- | SAV |
| -- | BUF |
| -- | OCLCQ |
| -- | DG1 |
| -- | DEHBZ |
| -- | ICG |
| -- | UKMGB |
| -- | INT |
| -- | OCLCQ |
| -- | WYU |
| -- | U3W |
| -- | OCLCQ |
| -- | DKC |
| -- | AU@ |
| -- | OCLCQ |
| -- | UKAHL |
| -- | VT2 |
| -- | OCLCQ |
| -- | TUHNV |
| -- | OCLCO |
| -- | OCLCQ |
| -- | OCLCO |
| -- | EZC |
| -- | OCLCL |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER | |
| Record control number | 017158039 |
| Source | Uk |
| 019 ## - | |
| -- | 910165687 |
| -- | 961647145 |
| -- | 962625570 |
| -- | 1034889540 |
| -- | 1103252254 |
| -- | 1228582555 |
| -- | 1244444804 |
| -- | 1249248718 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119183600 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 111918360X |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781118961766 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1118961765 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781118961759 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1118961757 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 1118961749 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781118961742 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1002/9781119183600 |
| Source of number or code | doi |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | AU@ |
| System control number | 000056082095 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | AU@ |
| System control number | 000061137913 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | AU@ |
| System control number | 000066118510 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | AU@ |
| System control number | 000066756813 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | CHNEW |
| System control number | 000944179 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | CHVBK |
| System control number | 480244111 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | DEBBG |
| System control number | BV042683514 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | DEBBG |
| System control number | BV043397686 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | DEBBG |
| System control number | BV043615822 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | DEBSZ |
| System control number | 446587192 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | DEBSZ |
| System control number | 46887481X |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | ZWZ |
| System control number | 190962054 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)906699047 |
| Canceled/invalid control number | (OCoLC)910165687 |
| -- | (OCoLC)961647145 |
| -- | (OCoLC)962625570 |
| -- | (OCoLC)1034889540 |
| -- | (OCoLC)1103252254 |
| -- | (OCoLC)1228582555 |
| -- | (OCoLC)1244444804 |
| -- | (OCoLC)1249248718 |
| 037 ## - SOURCE OF ACQUISITION | |
| Stock number | CL0500000595 |
| Source of stock number/acquisition | Safari Books Online |
| 037 ## - SOURCE OF ACQUISITION | |
| Stock number | C22BCA71-BCFD-4F3F-8431-715DFFA16765 |
| Source of stock number/acquisition | OverDrive, Inc. |
| Note | http://www.overdrive.com |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q325.5 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM |
| Subject category code subdivision | 000000 |
| Source | bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Edition number | 23 |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | MAIN |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Bowles, Michael, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Machine learning in Python : |
| Remainder of title | essential techniques for predictive analysis / |
| Statement of responsibility, etc. | Michael Bowles. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Indianapolis, IN : |
| Name of producer, publisher, distributor, manufacturer | Wiley, |
| Date of production, publication, distribution, manufacture, or copyright notice | [2015] |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | �2015 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource : |
| Other physical details | color illustrations |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | The Two Essential Algorithms for Making Predictions -- Understand the Problem by Understanding the Data -- Predictive Model Building: Balancing Performance, Complexity, and Big Data -- Penalized Linear Regression -- Building Predictive Models Using Penalized Linear Methods -- Ensemble Methods -- Building Ensemble Models with Python. |
| 588 0# - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Online resource; title from PDF title page (Ebsco, viewed April 13, 2015). |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 520 8# - SUMMARY, ETC. | |
| Summary, etc. | Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, data preparation, and using the trained models in practice. You will learn a core set of Python programming techniques, various methods of building predictive models, and how to measure the performance of each model to ensure that the right one is used. The chapters on penalized linear regression and ensemble methods dive deep into each of the algorithms, and you can use the sample code in the book to develop your own data analysis solutions. Machine learning algorithms are at the core of data analytics and visualization. In the past, these methods required a deep background in math and statistics, often in combination with the specialized R programming language. This book demonstrates how machine learning can be implemented using the more widely used and accessible Python programming language. Predict outcomes using linear and ensemble algorithm families Build predictive models that solve a range of simple and complex problems Apply core machine learning algorithms using Python Use sample code directly to build custom solutions Machine learning doesn't have to be complex and highly specialized. Python makes this technology more accessible to a much wider audience, using methods that are simpler, effective, and well tested. Machine Learning in Python. |
| 520 8# - SUMMARY, ETC. | |
| Summary, etc. | Shows you how to do this, without requiring an extensive background in math or statistics. |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | John Wiley and Sons |
| Provenance (VM) [OBSOLETE] | Wiley Online Library: Complete oBooks |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Python (Computer program language) |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Apprentissage automatique. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Python (Langage de programmation) |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | COMPUTERS |
| General subdivision | General. |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning |
| Source of heading or term | fast |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Python (Computer program language) |
| Source of heading or term | fast |
| 655 #7 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | dissertations. |
| Source of term | aat |
| 655 #7 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Academic theses |
| Source of term | fast |
| 655 #7 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Academic theses. |
| Source of term | lcgft |
| 655 #7 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Th�eses et �ecrits acad�emiques. |
| Source of term | rvmgf |
| 758 ## - RESOURCE IDENTIFIER | |
| Relationship information | has work: |
| Label | Machine Learning in Python (Text) |
| Real World Object URI | https://id.oclc.org/worldcat/entity/E39PCFv8FTh6f9g8qtHHG7ckQm |
| Relationship | https://id.oclc.org/worldcat/ontology/hasWork |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| International Standard Book Number | 9781118961766 |
| Record control number | (OCoLC)906699047 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://onlinelibrary.wiley.com/doi/book/10.1002/9781119183600">https://onlinelibrary.wiley.com/doi/book/10.1002/9781119183600</a> |
| 938 ## - | |
| -- | Askews and Holts Library Services |
| -- | ASKH |
| -- | AH27110248 |
| 938 ## - | |
| -- | Askews and Holts Library Services |
| -- | ASKH |
| -- | AH28499736 |
| 938 ## - | |
| -- | Coutts Information Services |
| -- | COUT |
| -- | 31389593 |
| 938 ## - | |
| -- | ebrary |
| -- | EBRY |
| -- | ebr11041441 |
| 938 ## - | |
| -- | EBSCOhost |
| -- | EBSC |
| -- | 975606 |
| 938 ## - | |
| -- | ProQuest MyiLibrary Digital eBook Collection |
| -- | IDEB |
| -- | cis31389593 |
| 938 ## - | |
| -- | Recorded Books, LLC |
| -- | RECE |
| -- | rbeEB00612021 |
| 938 ## - | |
| -- | YBP Library Services |
| -- | YANK |
| -- | 12375316 |
| 938 ## - | |
| -- | YBP Library Services |
| -- | YANK |
| -- | 12367781 |
| 938 ## - | |
| -- | YBP Library Services |
| -- | YANK |
| -- | 12580753 |
| 994 ## - | |
| -- | 92 |
| -- | INLUM |
No items available.