{"product_id":"machine-learning-for-knowledge-discovery-with-r","title":"Machine Learning for Knowledge Discovery with R","description":"\u003cp\u003e\u003cstrong\u003eMachine Learning for Knowledge Discovery with R\u003c\/strong\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eKey Features:\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eContains statistical theory for the most recent supervised and unsupervised machine learning methodologies.\u003c\/li\u003e\n\u003cli\u003eEmphasizes broad statistical thinking, judgment, graphical methods, and collaboration with subject-matter-experts in analysis, interpretation, and presentations.\u003c\/li\u003e\n\u003cli\u003eWritten by statistical data analysis practitioner for practitioners.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThe 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.\u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":54238028923224,"sku":"9781032065366","price":107.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781032065366_8b46d278-67c4-4b5b-a76a-6408d9339b0a.jpg?v=1777554036","url":"https:\/\/agendabookshop.com\/products\/machine-learning-for-knowledge-discovery-with-r","provider":"Agenda Bookshop","version":"1.0","type":"link"}