<--- Back to Details
First PageDocument Content
Statistics / Statistical classification / Robust statistics / Machine learning / K-nearest neighbors algorithm / Outlier / Nonparametric statistics / Naive Bayes classifier / Linear regression / Book:Machine Learning  The Complete Guide / Predictive analytics
Date: 2014-06-10 14:21:32
Statistics
Statistical classification
Robust statistics
Machine learning
K-nearest neighbors algorithm
Outlier
Nonparametric statistics
Naive Bayes classifier
Linear regression
Book:Machine Learning The Complete Guide
Predictive analytics

logistic regression decision trees pre-pruning global contextual

Add to Reading List

Source URL: bigdatascienceschool.com

Download Document from Source Website

File Size: 205,33 KB

Share Document on Facebook

Similar Documents

Advanced Methods in Statistical Classification SS 2013 Type Schedule / Room V3 Block course 01 April to 19th April Mo-Fr 1000 –

DocID: 1uQKO - View Document

Statistical and Computational Challenges in Networks and Cybersecurity Community Detection and Classification in Hierarchical Stochastic Blockmodels Carey E. Priebe

DocID: 1u9u0 - View Document

McRank: Learning to Rank Using Multiple Classification and Gradient Boosting Ping Li ∗ Dept. of Statistical Science Cornell University

DocID: 1tgDg - View Document

On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance Aditya Krishna Menon University of California, San Diego, La Jolla CA 92093, USA

DocID: 1sKKN - View Document

SEMINAR ON STATISTICAL MAPPING This seminar, held in two sessions on Monday and Wednesday afternoons, dealt with statistical mapping, map generalization and classification. Papers were presented by JEAN-CLAUDE MULLER, R

DocID: 1szhk - View Document