Main 深入理解机器学习:从原理到算法: 从原理到算法

深入理解机器学习:从原理到算法: 从原理到算法

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本书涵盖了机器学习领域中的严谨理论和实用方法,讨论了学习的计算复杂度、凸性和稳定性、PAC-贝叶斯方法、压缩界等概念,并介绍了一些重要的算法范式,包括随机梯度下降、神经元网络以及结构化输出。
全书讲解全面透彻,适合有一定基础的高年级本科生和研究生学习,也适合作为IT行业从事数据分析和挖掘的专业人员以及研究人员参考阅读。
Year:
2016
Publisher:
机械工业出版社
Language:
chinese
Pages:
309 / 326
ISBN 10:
7111543025
ISBN 13:
9787111543022
Series:
计算机科学丛书
File:
PDF, 62.57 MB
Download (pdf, 62.57 MB)
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可变目标C编译器: 设计与实现

Year:
2016
Language:
chinese
File:
PDF, 78.49 MB
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