Thu Oct 30 - Wharton Statistics
... ˆ{Y | X 0} tn2 (.975) ˆ 2 SE[ ˆ{Y | X 0 }]2 • Compare to 95% CI for mean at X0: ˆ{Y | X 0} tn2 (.975)SE[ˆ{Y | X 0}] – Prediction interval is wider due to random sampling error in future response – As sample size n becomes large, margin of error of CI for mean goes to zero but margin of e ...
... ˆ{Y | X 0} tn2 (.975) ˆ 2 SE[ ˆ{Y | X 0 }]2 • Compare to 95% CI for mean at X0: ˆ{Y | X 0} tn2 (.975)SE[ˆ{Y | X 0}] – Prediction interval is wider due to random sampling error in future response – As sample size n becomes large, margin of error of CI for mean goes to zero but margin of e ...
Taking Your Application Design to the Next Level with SQL
... Microsoft Neural Network More sophisticated than Decision Trees and Naïve Bayes, this algorithm can explore extremely complex scenarios Used for classification and regression tasks ...
... Microsoft Neural Network More sophisticated than Decision Trees and Naïve Bayes, this algorithm can explore extremely complex scenarios Used for classification and regression tasks ...
Document
... • Some types of inconsistences are easy to detect. – e.g., a person’s height should not be negative ...
... • Some types of inconsistences are easy to detect. – e.g., a person’s height should not be negative ...
Evolving data into mining solutions for insights
... where these techniques supplement, sometimes sup- © 2002 ACM 0002-0782/02/0800 $5.00 COMMUNICATIONS OF THE ACM August 2002/Vol. 45, No. 8 ...
... where these techniques supplement, sometimes sup- © 2002 ACM 0002-0782/02/0800 $5.00 COMMUNICATIONS OF THE ACM August 2002/Vol. 45, No. 8 ...
View Sample PDF
... model of the process that generated the data) or a useful form (for example, a predictive model) (Fayyad, Piatetsky-Shapiro & Smyth, 1996b). The KDD process evolves with pro-active intervention of the domain experts, data mining analyst and the end-users. It is a ‘continuous’ process in the sense th ...
... model of the process that generated the data) or a useful form (for example, a predictive model) (Fayyad, Piatetsky-Shapiro & Smyth, 1996b). The KDD process evolves with pro-active intervention of the domain experts, data mining analyst and the end-users. It is a ‘continuous’ process in the sense th ...
Metadata
... Metadata information includes • Identification – title, area, dates, owners, organizations, etc. • Data quality – attribute accuracy and spatial precision, consistency, sources of info, and methods of data production • Spatial data organization – raster-vector format and organization of features in ...
... Metadata information includes • Identification – title, area, dates, owners, organizations, etc. • Data quality – attribute accuracy and spatial precision, consistency, sources of info, and methods of data production • Spatial data organization – raster-vector format and organization of features in ...
SSRG PowerPoint Presentation
... Problems & Objectives • Survivor SRG is looking at crimes in the U.S. and other currently non-related data in an attempt to find meaningful correlations. • Establishing such relationships can help in efforts to lower these crimes and may offer insight into criminal behaviors. • We chose ten differe ...
... Problems & Objectives • Survivor SRG is looking at crimes in the U.S. and other currently non-related data in an attempt to find meaningful correlations. • Establishing such relationships can help in efforts to lower these crimes and may offer insight into criminal behaviors. • We chose ten differe ...
sample intelligence through data virtualization
... Leveraging data virtualization, drug development teams and partners can create a sort of virtual data layer; a logical or canonical view of entities from disparate, structured, semi-structured or unstructured data sources. In the case of sample intelligence, the entities are samples, patients, infor ...
... Leveraging data virtualization, drug development teams and partners can create a sort of virtual data layer; a logical or canonical view of entities from disparate, structured, semi-structured or unstructured data sources. In the case of sample intelligence, the entities are samples, patients, infor ...