Predictive modeling and machine learning are powerful tools for uncovering insights and making data-driven decisions. JMP and JMP Pro make these advanced techniques accessible to all users through point-and-click interface—no coding needed.

See how to:

• Build predictive models using decision trees, forests, and neural nets
• Visualizations for interpreting models
• Validate models and compare performance to avoid overfitting
• Identify the best-performing models with automatic model screening
• Use the Torch Deep Learning add-in and image classification
• Run machine learning workflows—no coding required

To deepen your understanding and support your machine learning initiatives, we recommend these articles and JMP resources:

• Neural Network
• Bootstrap Forest
• Classification Trees (Partition) : tutorial
• LearnBot (JMP Marketplace)
• Torch Deep Learning for JMP Pro (JMP Marketplace)