Ogden Calendar

The show uses the planetarium’s new digital technology to move through the solar system and look at new evidence from the Mars Science Laboratory rover (“Curiosity”) that, in the distance past, Mars had a habitat conducive to life. Combining full dome videos, the simulation potential of the new digital projector, amazing images shot right on Mars and stirring music, the 45-minute show is suitable for all ages.

Show times are 7 p.m. Tuesdays and Thursdays and 2 p.m. Sundays through May 12. Admission is free. Note that the show will begin on time, with no late entrance permitted. The Hardin Planetarium is located at the corner of College Heights Boulevard and State Street.

Show times and dates are:

• Tuesday, March 26, 7 p.m.
• Thursday, March 28, 7 p.m.
• Sunday, March 31, 2 p.m.
• Tuesday, April 2, 7 p.m.
• Thursday, April 4, 7 p.m.
• Sunday, April 7, 2 p.m.
• Tuesday, April 9, 7 p.m.
• Thursday, April 11, 7 p.m.
• Sunday, April 14, 2 p.m.
• Tuesday, April 16, 7 p.m.
• Thursday, April 18, 7 p.m.
• Sunday, April 21, 2 p.m.
• Tuesday, April 23, 7 p.m.
• Thursday, April 25, 7 p.m.
• Sunday, April 28, 2 p.m.
• Tuesday, April 30, 7 p.m.
• Thursday, May 2, 7 p.m.
• Sunday, May 5, 2 p.m.
• Tuesday, May 7, 7 p.m.
• Thursday, May 9, 7 p.m.
• Sunday, May 12, 2 p.m.

Contact: Ronn Kistler, (270) 745-4044.

Also at 1 pm

To register: https://www.mathworks.com/company/events/webinars/wbnr54068.html?s_v1=52892695_1-4LZGZ

Classification is used to assign items to a discrete group or class based on a specific set of features. Classification algorithms are a core component of statistical learning / machine learning.

In this webinar we introduce the classification capabilities included in Statistics Toolbox.

Representative examples include:

• Identifying vehicle type based on an acoustic signal or an image
• Sorting manufactured goods using images (optical quality control)
• Assigning a credit rating using information included in a financial statement
• Predicting a tumor type based on a DNA profile
• Filtering SPAM using the frequency of different words in an email

Applied examples using real world data sets are used to describe how you can:

• Choose between classification algorithms (bagged decision trees, naïve Bayes classifiers, discriminant analysis, and logistic regression)
• Train your classifier
• Evaluate the accuracy of a classifier (confusion matrices, ROC curves, classification error)
• Simplify your classification model

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.

Product Focus

• Image Processing Toolbox™
• Statistics Toolbox™