Data to Machine Learning Excellence

IBM SPSS Modeler is a top-tier visual data science and machine learning (ML) platform, designed to accelerate value realisation by streamlining operational tasks for data scientists. It is widely used for data preparation, predictive analytics, model management, and deployment, as well as leveraging machine learning to extract value from data.

Available within IBM Cloud Pak for Data, a containerised platform, SPSS Modeler allows for predictive modeling on any cloud or on-premises. This versatility ensures you can build, deploy, and run models wherever needed.

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Key Features

  • Automatic Data Preparation: Transform data with minimal effort for accurate predictive modeling.
  • Easy Model Deployment: Save and deploy models from popular ML frameworks like Scikit-learn and TensorFlow.
  • Powerful Visualisation: Utilise SPSS Modeler’s graphics engine for compelling, data-driven insights.
  • Diverse ML Methods: Supports decision trees, neural networks, regression models, and advanced techniques like GANs and reinforcement learning.
  • Open-Source Integration: Enhance analytics power with R, Python, Spark, and Hadoop, extending capabilities while maintaining control.

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