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Explore the new IBM SPSS Deep Dive Webinar Series[/caption]
The recent new releases of IBM SPSS Modeler and IBM SPSS Statistics offer many compelling enhancements and capabilities that will excite longtime and new users alike. Our new
“Deep Dive” Webinar Series takes a closer look at some of these updates and walks you through how to use them effectively. Choose from
four new on-demand presentations led by IBM SPSS product experts—just register and watch at your convenience directly from your desktop.
IBM SPSS Software and Watson Analytics: A powerful combo for the cognitive ageIBM SPSS and Watson Analytics can complement each and simplify analysis. Don’t miss this opportunity to see how you can take advantage of both applications to achieve insightful data analysis and present it to other in your organization.
No coding required: Expand your data mining toolset with predictive extensionsPredictive extensions can now be plugged into SPSS Modeler to provide additional features and capabilities. Learn how this new development opens the door for professional analysts and business users to take advantage of exciting new functionality without the need to write code.
Expanding the possibilities: How to enhance IBM SPSS Statistics functionality with predictive extensionsIn this session, we will explore the latest enhancements to Extensions in IBM SPSS Statistics 24, including the new SPSS Statistics Extension Hub, Custom Dialog Builder for Extensions, SPSS Predictive Analytics community and more.
Turning big data into big insight: New algorithms for big data analyticsSPSS Modeler 18 includes algorithms specifically designed to handle more types and sources of data, enabling you to find key insights faster and use them to differentiate and grow your business. In this demonstration you’ll learn more about these algorithms and see them in action.
Learn more about the Deep Dive Webinar Series and register today.EDIT: This webinar is no longer available.#Algorithms#bigdataanalytics#IBMSPSS#predictiveanalytics#predictiveextensions#python#R#SPSS#SPSSModeler#SPSSStatistics#Webinar