株式会社極東書店トップ ＞ 商品一覧 ＞ Machine Learning for Knowledge Discoverty with R : Methodologies for Modelling, Inference and Prediction.
商品詳細
Machine Learning for Knowledge Discoverty with R : Methodologies for Modelling, Inference and Prediction.
・ISBN 978-1-032-06536-6 2022 hard GB£ 103.99
￥32,943.- (税込) ※（※）価格はご注文時の参考価格となります。
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・ISBN 978-1-032-07159-6 2023 paper GB£ 50.99
￥16,153.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
電子版あり 大学・学術機関向け電子ブック（eBook）ISBN 978-1-003-20568-5
| 著者・編者 | Tsai, Kao-Tai, |
|---|---|
| 出版社 | (CRC Pr., US) |
| ページ数 | 244 pp. |
| ニュース番号 | ＜677-221＞ |
解説
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.
Key Features:
- Contains statistical theory for the most recent supervised and unsupervised machine learning methodologies.
- Emphasizes broad statistical thinking, judgment, graphical methods, and collaboration with subject-matter-experts in analysis, interpretation, and presentations.
- Written by statistical data analysis practitioner for practitioners.
The book is suitable for upper-level-undergraduate or graduate-level data analysis course. It also serves as a useful desk-reference for data analysts in scientific research or industrial applications.