Introduction to machine learning with Python : (Record no. 13683)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01933cam a22002777i 4500 |
| 001 - CONTROL NUMBER | |
| control field | TB11231 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IN-BhIIT |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240306193035.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 170710t20162017caua 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789352134571 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | IN-BhIIT |
| 041 ## - LANGUAGE CODE | |
| Language code of text | eng |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.133 |
| Book number | MUL/I |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Muller, Andreas C., |
| Relator term | Author |
| 245 10 - TITLE STATEMENT | |
| Title | Introduction to machine learning with Python : |
| Sub Title | a guide for data scientists / |
| Statement of responsibility, etc | by Andreas C. Müller and Sarah Guido. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Mumbai : |
| Name of publisher | O'Reilly, |
| -- | SPD Pvt. Ltd., |
| Year of publication | 2019. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xii, 376 p. : |
| Other physical details(ill.) | ill. ; |
| Dimensions(size) | 24 cm |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Including bibliographical references and index. |
| 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. |
| 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 | Machine learning |
| General subdivision | Programming languages (Electronic computers). |
| Topical Term | Python (Computer program language). |
| Topical Term | Data mining. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Guido, Sarah, |
| Relator term | Joint author. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Text Book |
| Koha issues (borrowed), all copies | 1 |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Not withdrawn | Not Lost | not damaged | SES | Central Library, IIT Bhubaneswar | Central Library, IIT Bhubaneswar | 16/01/2024 | 26 | 936.00 | 005.133 MUL/I | TB11231 | 1200.00 | 16/01/2024 | Text Book |