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Название: Causal AI (Final Release)Автор: Robert Osazuwa Ness
Издательство: Manning Publications
Год: 2025
Страниц: 520
Язык: английский
Формат: epub (true)
Размер: 19.2 MB
Build AI models that can reliably deliver causal inference. How do you know what might have happened, had you done things differently? Causal AI gives you the insight you need to make predictions and control outcomes based on causal relationships instead of pure correlation, so you can make precise and timely interventions. Causal AI is a practical introduction to building AI models that can reason about causality. Causal AI introduces the tools, techniques, and algorithms of causal reasoning for Machine Learning. This unique book masterfully blends Bayesian and probabilistic approaches to causal inference with practical hands-on examples in Python. Along the way, you’ll learn to integrate causal assumptions into Deep Learning architectures, including reinforcement learning and large language models. You’ll also use PyTorch, Pyro, and other ML libraries to scale up causal inference. This book assumes you are familiar with Data Science scripting in Python. For data scientists and Machine Learning engineers. Examples in Python.
