Uploaded February 2026 | Updated September 2026, 2 weeks ago
The new unified model framework brings together statistical modeling, machine learning and symbolic computation in a single, consistent interface. We show how diverse model families—linear, nonlinear, generalized additive, tree-based and more—fit into the same symbolic pipeline. Built for efficiency with the new Tabular object, the framework supports high-performance fitting on large datasets while preserving Wolfram Language's advantages in probability, integration and symbolic analysis.
The new unified model framework brings together statistical modeling, machine learning and symbolic computation in a single, consistent interface. We show how diverse model families—linear, nonlinear, generalized additive, tree-based and more—fit into the same symbolic pipeline. Built for efficiency with the new Tabular object, the framework supports high-performance fitting on large datasets while preserving Wolfram Language's advantages in probability, integration and symbolic analysis.

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In this episode of Live CEOing, Stephen Wolfram discusses upcoming improvements and functionality to Wolfram Language. If youd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or through the official Twitch channel of Stephen Wolfram here: https://www.twitch.tv/stephen_wolfram
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