January 2018
Intermediate to advanced
301 pages
8h 54m
Chinese
Overview
机器学习已成为许多商业应用和研究项目不可或缺的一部分，海量数据使得机器学习的应用范围远超人们想象。本书将向所有对机器学习技术感兴趣的初学者展示，自己动手构建机器学习解决方案并非难事！
书中重点讨论机器学习算法的实践而不是背后的数学，全面涵盖在实践中实现机器学习算法的所有重要内容，帮助读者使用Python和scikit-learn库一步一步构建一个有效的机器学习应用。
- 机器学习的基本概念及其应用
- 常用机器学习算法的优缺点
- 机器学习所处理的数据的表示方法，包括重点关注数据的哪些方面
- 模型评估和调参的高级方法
- 管道的概念
- 处理文本数据的方法，包括文本特有的处理方法
- 进一步提高机器学习和数据科学技能的建议
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