As the demand for data science expertise grows, so does the need for tools that deliver flexibility, speed, and ease of use. Organizations need solutions that can access several data types such as Big Data; offer a vast library of algorithms, including the most popular open source methods; and are accessible to expert coders and non-coders alike.
Join us for this latest Data Science Central Webinar to learn more about the newest IBM SPSS Modeler capabilities, such as:
Python algorithms for non-coders to provide greater analytical power and flexibility
Seamless integration with IBM Decision Optimization to help you determine the best scenarios for your business and budget
Easier access to data from The Weather Company, enabling you to create weather-driven insights
Learn how IBM SPSS Modeler can help data scientists and analysts to extract important insights from data in a powerful, flexible and easy way.
Speakers:
Ted Fischer, Senior Offering Manager– IBM SPSS Predictive Analytics
Erica Reuter, Client Technical Professional — IBM Analytics, Data Science Specialist, SPSS,DSX,CA,WA
Hosted by:
Bill Vorhies, Editorial Director — Data Science Central
