The Data Science Lab Neural Regression Classification Using PyTorch: Preparing Data Dr. James McCaffrey of Microsoft Research presents the first in a series of four machine learning articles that ...

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The model based on Gaussian process (GP) prior and a kernel covariance function can be used to fit nonlinear data with multidimensional covariates. It has been used as a flexible nonparametric ...

Ensemble methods like bagging and random forest are practical for mitigating both underfitting and overfitting, as we've seen with our regression and classification examples.

Fintech Company Lantern Credit Announces Abstract Regression-Classification Machine Learning Library Acquisition March 7, 2017 @ 4:11 pm By Samantha Hurst ...

Michael Vogt, Oliver Linton, Classification of non-parametric regression functions in longitudinal data models, Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 79, ...

Course Topics Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used ...

Regression and Classification Course This online data science course will explore concepts in statistical modeling, such as when to use certain models, how to tune those models, and determining ...