Regression Analysis with MATLAB: New Statistics Toolbox Capabilities in R2012a
In this webinar, you will learn new R2012a-related capabilities in Statistics and Machine Learning Toolbox. MathWorks engineers will explore an enhanced interface for regression analysis including fitting, prediction, and plotting. The interface also provides native support for dataset arrays and categorical data. These new capabilities speed up data analysis, produce more compact and readable MATLAB code, and eliminate the requirement to manually manipulate matrices.
Product demonstrations will feature applied examples of linear, nonlinear, and logistic regression including:
• Generating predictions
• Evaluating goodness-of-fit
• Plotting fits and residuals
• Outlier detection and robust regression
View example code from this webinar here.
About the Presenter: Richard Willey is a product marketing manager at MathWorks where he focuses on MATLAB and add-on products for data analysis, Statistics, and Curve Fitting. Prior to joining MathWorks in 2007, Richard worked at Wind River Systems and Symantec. Richard has dual master’s in Engineering and Management from the Massachusetts Institute of Technology and a master’s degree in Economics from Indiana University.
Recorded: 17 Apr 2012
Featured Product
Statistics and Machine Learning Toolbox
Up Next:
Related Videos:
Seleziona un sito web
Seleziona un sito web per visualizzare contenuto tradotto dove disponibile e vedere eventi e offerte locali. In base alla tua area geografica, ti consigliamo di selezionare: .
Puoi anche selezionare un sito web dal seguente elenco:
Come ottenere le migliori prestazioni del sito
Per ottenere le migliori prestazioni del sito, seleziona il sito cinese (in cinese o in inglese). I siti MathWorks per gli altri paesi non sono ottimizzati per essere visitati dalla tua area geografica.
Americhe
- América Latina (Español)
- Canada (English)
- United States (English)
Europa
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
Asia-Pacifico
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)