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portada Machine Learning for Knowledge Discovery With r
Type
Physical Book
Publisher
Author
Language
English
Pages
260
Format
Paperback
ISBN13
9781032071596
Edition No.
1

Machine Learning for Knowledge Discovery With r

Tsai Kao-Tai (Author) · Chapman And Hall/Crc, · Paperback

Machine Learning for Knowledge Discovery With r - Tsai Kao-Tai

New Book Imported to Netherlands
Delivery: 06 Aug - 10 Aug Shipping: 4 to 5 business days.
84,22 €
Import costs and 9% BTW included in the price ✅
84,22 €

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Synopsis "Machine Learning for Knowledge Discovery With r "

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.

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