Data Science Solutions with Python : Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn (Record no. 661973)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01228nam a22001817a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781484283509 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Edition number | 1 |
| Classification number | 006.31 |
| Item number | NOK-D |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Nokeri, Tshepo Chris, |
| 245 ## - TITLE STATEMENT | |
| Title | Data Science Solutions with Python : Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn |
| Statement of responsibility, etc | By Tshepo Chris Nokeri |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | Apress, |
| Year of publication | c2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | i-xvi+119P. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Chapter 1: Understanding Machine Learning and Deep Learning<br/>Chapter 2: Big Data Frameworks and ML and DL Frameworks<br/>Chapter 3: The Parametric Method Linear Regression<br/>Chapter 4: Survival Regression Analysis.-Chapter 5:The Non-Parametric Method - Classification<br/>Chapter 6:Tree-based Modelling and Gradient Boosting<br/>Chapter 7: Artificial Neural Networks<br/>Chapter 8: Cluster Analysis using K-Means<br/>Chapter 9: Dimension Reduction Principal Components Analysis<br/>Chapter 10: Automated Machine Learning |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Apply supervised and unsupervised learning to solve practical and real-world big data problems |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | : Apprentissage automatique Electronic books Machine learning Python (Computer program language) |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.worldcat.org/title/1281134804 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home Library | Current Location | Date acquired | Full call number | Accession Number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|
| Dept. of Computational Biology and Bioinformatics | Dept. of Computational Biology and Bioinformatics | 31/10/2022 | 006.31 NOK-D | DCB4164 | 31/10/2022 | Book |