Machine learning for knowledge discovery with R : methodologies for modeling, inference, and prediction / Kao-Tai Tsai
Material type:
TextPublication details: Boca Raton CRC Press 2022Description: 244pISBN: - 9781032065366
- 006.312 TSA-K
| Item type | Current library | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|---|
Books
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BITS Pilani Hyderabad | 003-007 | General Stack (For lending) | 006.312 TSA-K (Browse shelf(Opens below)) | GBP 44.99 | Available | 48522 |
Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction of data analysis. It includes many recent supervised and unsupervised machine learning methodologies such as recursive partitioning modelling, regularized regression, support vector machine, neural network, clustering, and causal-effect inference. Additionally, it emphasizes statistical thinking of data analysis, use of statistical graphs for data structure exploration, and result presentations. The book includes many real-world data examples from life-science, finance, etc. to illustrate the applications of the methods described therein"-
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