本书分9章,介绍机器学习领域中使用的各种库和框架,然后通过示例实现回归、聚类、分类、神经网络等,从而解决如图像分析、自然语言处理和时间序列数据的异常检测等实际问题。
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本书分9章,介绍机器学习领域中使用的各种库和框架,然后通过示例实现回归、聚类、分类、神经网络等,从而解决如图像分析、自然语言处理和时间序列数据的异常检测等实际问题。
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