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Extending versatility of python to nonprogrammer

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Armand Ruis
Armand Ruis

IBM SPSS Programmability

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Extending versatility of Python to nonprogrammer by Armand Ruiz (IBM SPSS Product Manager) 1st Annual Conference on Python applications in Data Analysis, Machine Learning, and Web
About Me • Role: IBM SPSS Product Manager Programmability • E-mail: armand.ruiz@us.ibm.com • Twitter: @armand_ruiz • Website: http://www.armandruiz.com
Content available here: http://tinyurl.com/nzgvn69
IBM SPSS Software: IBM SPSS Modeler – Latest version is 17 IBM SPSS Statistics – Latest version is 23 Trials available
Extensibility with R/Python for Modeler AND Statistics • Build and score R/Python models through the Modeler and Statistics GUIs • Use R/Python functions for data preparation • Generate R/Python Charts and Outputs within SPSS output management system • Custom Dialog Builder:
Enterprise R/Python Scalability and Deployment • A range of options exist for scaling R execution via Modeler. The following modes of operation are supported: - Modeler Desktop - Modeler Server (Python/R execution on Server Tier to minimise data movement) - Pushdown to Analytic Server (Hadoop) leveraging Map Reduce (HUGE!!!) - Database pushback through leveraging Netezza, SAP Hana or Oracle R engines • Streams can be deployed/automated through: - Modeler Batch - C&DS Job Scheduling and Model Management - C&DS Scoring Service/Solution Publisher/InfoSphere Streams - IBM SPSS Analytical Decision Management
IBM SPSS Nodes
9
11
Social Databases Models And many more…! IBM Predictive Extensions Geospatial
New IBM SPSS Community https://developer.ibm.com/predictiveanalytics
Q&A • E-mail: armand.ruiz@us.ibm.com • Twitter: @armand_ruiz • Website: http://www.armandruiz.com https://developer.ibm.com/predictiveanalytics

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Extending versatility of python to nonprogrammer

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