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机器学习包括有监督学习、无监督学习和半监督学习，而具体的问题又大致可以分两类：分类问题和回归问题。本书分为8章，使用Python第三方工具库深入讲解机器学习极大重要算法的实现，内容包括机器学习概述、贝叶斯分类、决策树、集成学习、支持向量机、神经网络、卷积神经网络、卷积神经网络分割图片实战。
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