Training Course Title Date □

First Page		Document Content
Date: 2015-01-20 14:30:05 Linear regression Regression Boosting Gradient boosting Elastic net regularization Nonlinear regression Logistic regression Decision tree learning Statistics Regression analysis Multivariate adaptive regression splines		Training Course Title Date □ Add to Reading List Source URL: cdn2.hubspot.net Download Document from Source Website File Size: 94,21 KB Share Document on Facebook

	A working guide to boosted regression trees DocID: 1q3BZ - View Document
	Chapter 3 Tree- based Regress ion This chapter describes two different approaches to induce regression trees. We first present the standard methodology based on the minimisation of the squared error. Least squares (LS) r DocID: 1pF6D - View Document
	Methods in Ecology and Evolution 2015, 6, 412–423 doi: 210XSPECIAL FEATURE NEW OPPORTUNITIES AT THE INTERFACE BETWEEN ECOLOGY AND STATISTICS DocID: 1ptRv - View Document
	Non-parametric Regression with Basis Selection from Multiple Libraries Jeffrey C. Sklar, Junqing Wu, Wendy Meiring, and Yuedong Wang ∗ DocID: 1osRD - View Document
	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. DocID: 1goai - View Document