توضیحات
This book provides a hands-on guide to building AI reasoning models from the ground up. It explains how to implement algorithms that mimic human-like reasoning and decision-making using Python. Topics include data preprocessing, neural network design, knowledge representation, and model evaluation. Readers also learn techniques for combining symbolic and statistical AI approaches to solve complex problems. With practical examples and exercises, the book equips developers, data scientists, and AI enthusiasts with the skills to design, train, and test reasoning models that can be applied in areas such as natural language understanding, robotics, and intelligent decision-making systems.
نقد و بررسیها
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