'Complexity control' diaporamas de présentation

Introduction to Predictive Learning

Introduction to Predictive Learning . LECTURE SET 7 Support Vector Machines. Electrical and Computer Engineering. 1. OUTLINE. Objectives explain motivation for SVM describe basic SVM for classification & regression compare SVM vs. statistical & NN methods

976 views • 82 slides

Predictive Learning from Data

744 views • 74 slides

Managing complexity in a Software plus Services World

Session Code: ARC206. Managing complexity in a Software plus Services World. Amanda Jackson Fronde Systems Group Ltd. Presentation Overview. Introduction Redefining Enterprise Architecture Understanding complexity Partitioning Mathematics of complexity SIP Summary. Amanda Jackson.

761 views • 60 slides

6. Basic Methods II

6. Basic Methods II. Overview 6.1 Models 6.2 Taxonomy 6.3 Finite State Model 6.4 State Transition Model 6.5 Dataflow Model 6.6 User Manual. 6.5 Dataflow Model. Need to go past data modeling to discuss data storage, flow, etc. E.g., Process Control Applications

218 views • 21 slides