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Causal AI: Code-First Learning for Causal Inference

Causal AI: Code-First Learning for Causal Inference

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Causal AI: Code-First Learning for Causal Inference

This essential textbook, published by the reputable Kyoritsu Shuppan, provides a hands-on, code-first approach to understanding Causal AI and Causal Inference. It is designed for students and practitioners eager to master the practical application of causal reasoning in artificial intelligence through concrete examples and programming exercises. The volume thoroughly covers the foundational theories and advanced methodologies, offering a clear pathway to implementing robust causal models. Note: The text is entirely in Japanese. Brand New Japanese Edition.

ISBN 9784320125988 · ISBN-10 4320125983

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