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机器学习实战营:从理论到实战的探索之旅

机器学习实战营:从理论到实战的探索之旅

1星价 ¥48.3 (7.1折)
2星价¥48.3 定价¥68.0
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  • ISBN:9787121478154
  • 装帧:一般胶版纸
  • 册数:暂无
  • 重量:暂无
  • 开本:其他
  • 页数:216
  • 出版时间:2024-05-01
  • 条形码:9787121478154 ; 978-7-121-47815-4

内容简介

本书是一本机器学习实用指南,提供从基础知识到进阶技能的全面学习路径。本书以浅显 易懂的方式介绍了机器学习的基本概念和主要类型,并详细介绍使用 Python 及常见的库进行数 据处理和机器学习的实操。此外,介绍了数据预处理的详细过程,*后通过若干典型案例加深 读者对机器学习的理解。本书适合对机器学习感兴趣的初学者,也可作为软件开发人员、数据分析师、学术研究人员的参考书籍。

目录

目录 机器学习入门············································································1 机器学习简介 ···········································································1 1.1.1 什么是机器学习································································1 1.1.2 机器学习的前景································································2 机器学习的主要类型 ··································································3 1.2.1 监督学习·········································································4 1.2.2 无监督学习······································································5 1.2.3 半监督学习······································································7 1.2.4 强化学习·········································································8 1.2.5 监督学习案例································································.10 选择正确的算法·····································································.12 机器学习工具和环境·································································14 Pyth
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作者简介

谢雪葵,毕业于北邮软件学院计算机科学系软件工程专业。在校期间,多次获得专业一、二等奖学金,并成功带领团队进行了校园APP的研发工作。阿诚网络的创始人,该公司专注于为企业提供大数据相关服务。主要业务包括为企业提供大数据技术支持和降低成本、提高效率的解决方案,同时也提供基于机器学习的预测模型和智能决策支持。在过去的多年里,积累了丰富的企业级大数据项目实战经验,并负责大型银行和互联网公司的大数据项目开发和性能优化工作,其中包括使用机器学习技术进行风险评估、用户行为分析和产品推荐等。

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