Coresets for Nonparametric Estimation — the Case of DP-Means Olivier Bachem Mario Lucic Andreas Krause ETH Zurich, Switzerland

Source URL: jmlr.org

• Statistics
• Computational statistics
• Cluster analysis
• Machine learning
• Monte Carlo methods
• K-means clustering
• K-means++
• Dirichlet process
• Mixture model
• Median
• Importance sampling
• Determining the number of clusters in a data set

journal of global Validating hierarchical verbal autopsy expert algorithms in a large data set with known causes of death

Source URL: www.jogh.org

DataZapper: A Tool for Generating Incomplete Datasets Yingying Wen, Kevin B. Korb and Ann E. Nicholson Bayesian Intelligence Pty Ltd, 2/21 The Parade, Clarinda, VIC 3169, Australia , {kevin.korb,ann.nich

Source URL: bayesian-intelligence.com

• Data
• Statistical analysis
• Statistics
• Computing
• Imputation
• Missing data
• Data set
• Data analysis

Brainstorm Questions Use WTFcsv to identify some questions to ask your spreadsheet What is WTFcsv?

Source URL: www.databasic.io

• Data
• Computing
• Information
• Data management
• Comma-separated values
• Spreadsheet
• Data set
• Question
• Open Data Indicies

Adult data set 18, 176 Allele

Source URL: www.dataminingconsultant.com

case-studies-3 land registry_v2.indd

Source URL: odimpact.org

• Department for Business
• Innovation and Skills
• Open data
• English property law
• Housing in the United Kingdom
• Land Registry
• Data.gov.uk
• Public Data Group
• Data set
• Gov.uk
• Data quality
• Land registration

Modeling Disk Arrays Using Genetic Programming Evan Kirshenbaum Software Technology Laboratory HP Laboratories Palo Alto HPL

Source URL: www.kirshenbaum.net

• Machine learning
• Statistics
• Regression analysis
• Learning
• Overfitting
• Statistical inference
• Interpolation
• Data
• Cross-validation
• Test set

Microsoft Word - Almanac Ch 2 enrollment 7th Ed.docx

Source URL: obp.umich.edu

• Education in the United States
• Education
• SAT
• University of Michigan
• V-12 Navy College Training Program
• Integrated Postsecondary Education Data System
• University of California
• Los Angeles
• ACT
• University and college admissions
• College admissions in the United States
• Common Data Set

CS229 PROJECT: FACTOR-ANALYSIS WITH PARTIALLY OBSERVED TRAINING DATA PAUL CSONKA, BARRETT HEYNEMAN, SALOMON TRUJILLO 1. Motivation Factor Analysis is typically applied to problems when we have a set of m training

Source URL: cs229.stanford.edu

MCS 590 – Foundations of Data Science Spring 2015 Problem Set 1 Lev Reyzin Due: at the beginning of class Instructions: Atop your problem set, please write your name and list your collaborators.

Source URL: homepages.math.uic.edu