Ads
related to: introduction to statistical learning gareth
Search results
Results from the WOW.Com Content Network
James is a noted scholar and researcher. His extensive published works include numerous articles, conference proceedings, and book chapters focused on statistical and machine learning methodologies. His work has been cited more than 20,000 times. James is also co-author of the extremely successful textbook, An Introduction to Statistical Learning.
She was awarded the American Statistical Association David P. Byar Young Investigator Award for her work Penalized Classification Using Fisher’s Linear Discriminant in 2011. [22] Her book An Introduction to Statistical Learning won a Technometrics Ziegel Award in 2014. [23] She won an Elle magazine Genius Award in 2012. [24]
Tibshirani was made the 2012 Statistical Society of Canada's Gold Medalist at their yearly meeting in Guelph, Ontario for "exceptional contributions to methodology and theory for the analysis of complex data sets, smoothing and regression methodology, statistical learning, and classification, and application areas that include public health ...
Statistical learning theory is a framework for machine learning drawing from the fields of statistics and functional analysis. [ 1 ] [ 2 ] [ 3 ] Statistical learning theory deals with the statistical inference problem of finding a predictive function based on data.
Hastie is known for his contributions to applied statistics, especially in the field of machine learning, data mining, and bioinformatics. He has authored several popular books in statistical learning, including The Elements of Statistical Learning: Data Mining, Inference, and Prediction.
Introduction to statistical decision theory. Author: John W. Pratt, Howard Raiffa, and Robert Schlaifer Publication data: preliminary edition, 1965. Cambridge, Mass.: MIT Press, 1995. Description: Extensive exposition of statistical decision theory, statistics, and decision analysis from a Bayesian standpoint. Many examples and problems come ...
The Jaguars have requested interviews with eight candidates.. Aaron Glenn. Ben Johnson. Joe Brady. Todd Monken. Robert Saleh, former Jets head coach and current Green Bay Packers offensive ...
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
Ads
related to: introduction to statistical learning gareth