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  • Hi John, I've used SPSS, R and Python. The main advantage of SPSS is that you don't need to have programming skills in order to use it, you could just focus on finding the right model for your data. On the other hand, you need to know how to code ...

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  • OK @Stephen Lambert , Thanks for sharing!​​ ------------------------------ Konan Jean-Claude Kouassi Practice Makes Perfect! ------------------------------

  • I leaned SPSS Stats in a quantitative social science PhD program. While there gaining skills in research stats I became interested in the predictive capabilities of the various types of regression and discriminant function analysis. Becoming then a practitioner ...

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Latest Articles

  • Hello, Data Science Community - my name is Mike Tamir, Data Science faculty member at UC Berkeley and Head of Data Science at Uber Advanced Technologies Group. As a continuation of the IBM Ask A Data Scientist Program, I sat down for an interview with ...

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  • SPSS Modeler sessions: – 6852 Put AI to Work for Business with IBM Data Science – 6855 IBM Watson Studio: Overview, What's New and Directions – 5866 Open Source and SPSS: A Powerful Analytical Combination – 6963 What's New ...

  • I was talking to a friend of mine, Robert, about the different tools available for when it comes to manipulating data and creating models. Our discussion quickly got to: Should we used Spark or not? For those who don't remember, Spark made a big splash ...

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  • Introduction Forecasting demand is important for the business control to balance the costs on storage and lack of supply. Irregular demand can be hard to forecast. Spare parts are demanded irregularly and may cost much if lack of supply. Thus, ...

  • Introduction to Spatio-Temporal Point Process Modeling Spatial (location) and temporal (time) information is embedded in nearly all business data. It is important and becomes common that business users utilize this wealth of information and combine ...

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