Introduction to machine learning with Python : (Record no. 87247)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01839cam a22002897i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251105122604.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 170710t20162017caua 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789352134571 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | STCPL |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | English |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.133 |
| Item number | AND-I |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Müller, Andreas C. |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Guido, Sarah |
| 245 10 - TITLE STATEMENT | |
| Title | Introduction to machine learning with Python : |
| Remainder of title | a guide for data scientists / |
| Statement of responsibility, etc. | by Andreas C. Müller and Sarah Guido |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Sebastopol, CA : |
| Name of publisher, distributor, etc. | O'Reilly Media Inc. , |
| Date of publication, distribution, etc. | 2017. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xii, 378 p. |
| Other physical details | Paper Back |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. -- |
| 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 | Programming languages (Electronic computers) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data mining |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Introduction -- Supervised learning -- Unsupervised learning and preprocessing -- Representing data and engineering features -- Model evaluation and improvement -- Algorithm chains and pipelines -- Working with text data -- Wrapping up. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Collection code | Not for loan | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Physics | ST. THOMAS COLLEGE LIBRARY, PALAI | ST. THOMAS COLLEGE LIBRARY, PALAI | Physics | 2025-11-05 | 1300.00 | 005.133 AND-I | 93168 | 2025-11-05 | 2025-11-05 | Books |