Python machine learning / (Record no. 12596)
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| 001 - CONTROL NUMBER | |
| control field | on1091899483 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240523125541.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
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| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190408s2019 inu o 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 |
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| -- | EBLCP |
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| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER | |
| National bibliography number | GBB973478 |
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| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER | |
| Record control number | 019364424 |
| Source | Uk |
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119545675 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1119545676 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119545699 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1119545692 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119557500 |
| Qualifying information | (electronic bk. ; |
| -- | oBook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 111955750X |
| Qualifying information | (electronic bk. ; |
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1119545633 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119545637 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1523128453 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781523128457 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781119545637 |
| Qualifying information | (paperback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 1119545633 |
| Qualifying information | (paperback) |
| 024 3# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 9781119545637 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | CHNEW |
| System control number | 001050890 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | CHVBK |
| System control number | 567422437 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | UKMGB |
| System control number | 019364424 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1091899483 |
| Canceled/invalid control number | (OCoLC)1096293762 |
| -- | (OCoLC)1096457961 |
| -- | (OCoLC)1152983556 |
| -- | (OCoLC)1162416295 |
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| -- | (OCoLC)1181909806 |
| -- | (OCoLC)1192342125 |
| 037 ## - SOURCE OF ACQUISITION | |
| Stock number | 9781119545675 |
| Source of stock number/acquisition | Wiley |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA76.73.P98 |
| Item number | L44 2019eb |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM |
| Subject category code subdivision | 051360 |
| Source | bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.133 |
| Edition number | 23 |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | MAIN |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Lee, Wei-Meng, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Python machine learning / |
| Statement of responsibility, etc. | Wei-Meng Lee. |
| 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 | [2019] |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (xxiv, 296 pages) |
| 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 |
| 500 ## - GENERAL NOTE | |
| General note | Includes index. |
| 588 0# - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Online resource; title from PDF title page (EBSCO, viewed April 9, 2019) |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Introduction to machine learning -- Extending Python using NumPy -- Manipulating tabular data using Pandas -- Data visualization using matplotlib -- Getting started with Scikit-learn for Machine Learning -- Supervised learning : linear regression -- Supervised learning : classification using logistic regression -- Supervised learning : classification using support vector machines -- Supervised learning : classification using K-Nearest Neighbors (KNN) -- Unsupervised learning : clustering using K-Means -- Using Azure Machine Learning Studio -- Deploying machine learning models. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs decreasing at the same time, there is no better time to learn machine learning using Python. Machine learning tasks that once required enormous processing power are now possible on desktop machines. However, machine learning is not for the faint of heart-it requires a good foundation in statistics, as well as programming knowledge. Python Machine Learning will help coders of all levels master one of the most in-demand programming skillsets in use today. Readers will get started by following fundamental topics such as an introduction to Machine Learning and Data Science. For each learning algorithm, readers will use a real-life scenario to show how Python is used to solve the problem at hand. - Python data science-manipulating data and data visualization - Data cleansing - Understanding Machine learning algorithms - Supervised learning algorithms - Unsupervised learning algorithms - Deploying machine learning models Python Machine Learning is essential reading for students, developers, or anyone with a keen interest in taking their coding skills to the next level. |
| 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 | Python (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Python (Langage de programmation) |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Apprentissage automatique. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | COMPUTERS |
| General subdivision | Programming Languages |
| -- | Python. |
| 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 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Python (Llenguatge de programaci�o) |
| Source of heading or term | thub |
| 655 #7 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Llibres electr�onics. |
| Source of term | thub |
| 758 ## - RESOURCE IDENTIFIER | |
| Relationship information | has work: |
| Label | Python machine learning (Text) |
| Real World Object URI | https://id.oclc.org/worldcat/entity/E39PCFKd6DT7TpCCCGM4QhHkwy |
| Relationship | https://id.oclc.org/worldcat/ontology/hasWork |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| Main entry heading | Lee, Wei-Meng. |
| Title | Python machine learning. |
| Place, publisher, and date of publication | Indianapolis, IN : Wiley, 2019 |
| International Standard Book Number | 1119545633 |
| -- | 9781119545637 |
| Record control number | (OCoLC)1042350760 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://onlinelibrary.wiley.com/doi/book/10.1002/9781119557500">https://onlinelibrary.wiley.com/doi/book/10.1002/9781119557500</a> |
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