Python machine learning / (Record no. 91877)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01736nam a2200289Ia 4500 |
| 001 - CONTROL NUMBER | |
| control field | 355200 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | 0000000000 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20211104093344.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190116s2019 inu 000 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2019931301 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119545637 (pbk) |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | 20811877 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DLC |
| Transcribing agency | DLC |
| Description conventions | rda |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA 76.73.P98 |
| Item number | .L510 2019 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Lee, Wei-Meng. |
| 9 (RLIN) | 114270 |
| 245 #0 - TITLE STATEMENT | |
| Title | Python machine learning / |
| Statement of responsibility, etc. | Wei-Meng Lee. |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Indianapolis, IN : |
| Name of producer, publisher, distributor, manufacturer | John Wiley and Sons, |
| Date of production, publication, distribution, manufacture, or copyright notice | c2019. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxiv, 296 pages : |
| Other physical details | illustrations |
| Dimensions | 24 cm. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | unmediated |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Source | rdacarrier |
| 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. --Wiley.com |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning. |
| Source of heading or term | sears |
| 9 (RLIN) | 81820 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Python (Computer program language). |
| Source of heading or term | sears |
| 9 (RLIN) | 53404 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | |
No items available.
