Machine Learning with R: (Record no. 34503)
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
|---|---|
| ISBN | 9781801071321 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Author Mark | LAN-M |
| 100 ## - MAIN ENTRY--AUTHOR | |
| Author Name | Lantz, Brett |
| 245 ## - TITLE STATEMENT | |
| Title | Machine Learning with R: |
| Sub-Title | Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data, |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 4th Ed |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of Publication | Bermingham UK. |
| Name of publisher, distributor, etc. | Packt Publishing |
| Date of publication, distribution, etc. | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pages | 737p. |
| 500 ## - GENERAL NOTE | |
| General note | Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data.<br/><br/>Machine Learning with R, Fourth Edition, provides a hands-on, accessible, and readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to know for data pre-processing, uncovering key insights, making new predictions, and visualizing your findings. This 10th Anniversary Edition features several new chapters that reflect the progress of machine learning in the last few years and help you build your data science skills and tackle more challenging problems, including making successful machine learning models and advanced data preparation, building better learners, and making use of big data.<br/><br/>You'll also find this classic R data science book updated to R 4.0.0 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Whether you're looking to take your first steps with R for machine learning or making sure your skills and knowledge are up to date, this is an unmissable read that will help you find powerful new insights in your data. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Include Index. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Withdrawn status | Not for loan | Collection code | Permanent Location | Current Location | Shelving Location | Date acquired | Source of acquisition | Price | Full Call Number | Accession No./Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cyber Security | Air University Kharian Campus Library | Air University Kharian Campus Library | Computer Science | 02/17/2025 | Ali Book Service | 3752.00 | 006.31 LAN-M | AUKHP0407 | 03/05/2025 | Book |