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Synopsis
《因果推理：基础与学习算法》从概率统计的角度入手，分析了因果推理的假设，揭示这些假设所暗示的因果推理和学习的目的。本书分别论述了两个变量和多变量情况下的因果模型、学习因果模型及其与机器学习的关系，讨论了因果推理隐藏变量有关的问题、时间系列的因果分析。 《因果推理：基础与学习算法》可作为高等院校人工智能和计算机科学等相关专业高年级本科生和硕士研究生的教材，也可供研究机器学习、因果推理的技术人员参考。
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Causal Reasoning: Basics and Learning Algorithms(Chinese Edition)
ISBN 10: 7111640306
ISBN 13: 9787111640301
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Seller: liu xing, Nanjing, JS, China
Seller rating 5 out of 5 stars
paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2021-07-01 Publisher: Mechanical Industry Press Causal Reasoning: Basics and Learning Algorithms starts from the perspective of probability and statistics. analyzes the hypotheses of causal reasoning. and reveals the causal reasoning and learning implied by these hypotheses Purpose.?This book discusses the causal model in the case of two variables and multivariate. the learning causal model and its relationship with machine learning. and discusses the pro. Seller Inventory # NV032099
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