'Data features' presentation slideshows

Shape Matching: A Game-Theoretic Perspective

666 views • 57 slides

CIS 454-01 / 528-01 Introduction to Business GIS Winter 2005 Lecture 2 Dr. David Gadish

CIS 454-01 / 528-01 Introduction to Business GIS Winter 2005 Lecture 2 Dr. David Gadish. Lecture 1 Review. Course outline Course web site Student introduction Introduction to GIS The project. Lecture 2 Agenda. What is GIS? (Review) Start Foundations of GIS Focus on GIS data

569 views • 48 slides

The technical artifacts of forensic STR testing: stutter, pull-up, spikes, blobs, and degradation

The technical artifacts of forensic STR testing: stutter, pull-up, spikes, blobs, and degradation. Jason Gilder Forensic Bioinformatics August 21, 2004. Stutter. By-product of PCR amplification process.

1.11k views • 36 slides

The principles of DCM

The principles of DCM. Vladimir Litvak. Wellcome Trust Centre for Neuroimaging. Epigraph. What I cannot create I do not understand. Richard P. Feynman. What do we need for DCM?. Data (possibly data features). 250. 0. input. depolarization. 1 st and 2d order moments. 200. -20.

483 views • 35 slides

Managing and Using Microsoft SharePoint 2010

Managing and Using Microsoft SharePoint 2010 . By Gerard Beckerleg. Course Website. http://sharepoint.ssw.com.au/Training/UTSSP2010 / Course Materials. Part A: SharePoint 2010. Sessions Part A SharePoint Concepts and Use. Part B: SharePoint 2010.

534 views • 34 slides

Week 3 Video 4

Week 3 Video 4. Automated Feature Generation Automated Feature Selection. Automated Feature Generation. The creation of new data features in an automated fashion from existing data features. Multiplicative Interactions. You have variables A and B New variable C = A * B

452 views • 32 slides

Combining GLM and data mining techniques

Combining GLM and data mining techniques. Greg Taylor Taylor Fry Consulting Actuaries University of Melbourne University of New South Wales Casualty Actuarial Society Special Interest Seminar on Predictive Modeling Boston, October 4-5 2006. Overview.

431 views • 29 slides

Combining GLM and data mining techniques

Combining GLM and data mining techniques. Greg Taylor Taylor Fry Consulting Actuaries University of Melbourne University of New South Wales Casualty Actuarial Society Special Interest Seminar on Predictive Modeling Boston, October 4-5 2006. Overview.

298 views • 29 slides

Machine Learning: Decision Trees in AIMA, WEKA and SCIKIT-LEARN

Machine Learning: Decision Trees in AIMA, WEKA and SCIKIT-LEARN. http:// archive.ics.uci.edu /ml. Est. 1987! 370 data sets. http://archive.ics.uci.edu/ml/datasets/Zoo. category label. Zoo training data. 101 Instances aardvark,1,0,0,1,0,0,1,1,1,1,0,0,4,0,0,1, mammal

284 views • 27 slides

340 views • 25 slides

338 views • 22 slides

OncoPredictor Insight Presentation

OncoPredictor Insight Presentation

319 views • 17 slides