Machine learning with PyTorch and Scikit-Learn : develop machine learning and deep learning models with Python (Record no. 45246)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01612nam a22002177a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781801819312 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1801819319 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.133 |
| Item number | RAS |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Raschka, Sebastian |
| 245 ## - TITLE STATEMENT | |
| Title | Machine learning with PyTorch and Scikit-Learn : develop machine learning and deep learning models with Python |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Birmingham : |
| Name of publisher | Packt Publishing, |
| Year of publication | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xxix, 741 pages : |
| Other physical details | illustrations, graphs, charts ; 26 cm |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | <br/>Table of ContentsGiving Computers the Ability to Learn from DataTraining Simple Machine Learning Algorithms for ClassificationA Tour of Machine Learning Classifiers Using Scikit-LearnBuilding Good Training Datasets – Data PreprocessingCompressing Data via Dimensionality ReductionLearning Best Practices for Model Evaluation and Hyperparameter TuningCombining Different Models for Ensemble LearningApplying Machine Learning to Sentiment AnalysisPredicting Continuous Target Variables with Regression AnalysisWorking with Unlabeled Data – Clustering Analysis(N.B. Please use the Look Inside option to see further chapters) |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Fully updated with PyTorch and the latest additions to scikit-learn. Packed with clear explanations, visualizations, and working examples, the book covers essential machine learning techniques in depth, along with two cutting-edge machine learning techniques: transformers and graph neural networks |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine learning Computer programs |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Python (Computer program language) |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Liu, Yuxi |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mirjalili, Vahid |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Reference Books |
| Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|---|---|---|---|
| Reference | Main Library | Main Library | Reference | 27/10/2023 | Purchase | 32391.00 | 005.133 RAS | 016647 | Reference Books |