Introduction to machine learning with Python : (Record no. 666189)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01936cam a22002897i 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781449369415 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1449369413 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.133 |
| Edition number | 23 |
| Item number | MUL |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Müller, Andreas C. |
| 245 10 - TITLE STATEMENT | |
| Title | Introduction to machine learning with Python : |
| Sub Title | a guide for data scientists / |
| Statement of responsibility, etc | Andreas C. Müller and Sarah Guido. |
| 246 30 - VARYING FORM OF TITLE | |
| Title proper/short title | Machine learning with Python |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | MUMBAI: |
| Name of publisher | Shroff/O'Reilly, |
| Year of publication | 2017. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xii, 376 pages : |
| Other physical details | illustrations ; |
| 500 ## - GENERAL NOTE | |
| General note | Includes 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 | Python (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Programming languages (Electronic computers) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Data mining. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Data mining. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Programming languages (Electronic computers) |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Python (Computer program language) |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Maschinelles Lernen |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Guido, Sarah, |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home Library | Current Location | Shelving location | Date acquired | Full call number | Accession Number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Non-fiction | Dept. of Futures Studies | Dept. of Futures Studies | General Stacks | 14/12/2022 | 006.3 MUL | DFS4511 | 14/12/2022 | Book |