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基于scikit-learn和PyTorch的实践机器学习
book

基于scikit-learn和PyTorch的实践机器学习

by Aurélien Géron
October 2025
Intermediate to advanced
878 pages
12h 53m
Chinese
O'Reilly Media, Inc.

Overview

本作品已使用人工智能进行翻译。欢迎您提供反馈和意见:translation-feedback@oreilly.com

当今机器学习的潜力令人惊叹,但许多有志于此的开发者和技术从业者却因其复杂性望而却步。无论您是想提升技能将机器学习应用于实际项目,还是单纯好奇人工智能系统的运作原理,本书都是您的理想起点。

作者奥雷利安·杰隆以通俗易懂却内容丰富的风格,打造了这本机器学习与Deep Learning的终极入门指南。本书依托Hugging Face生态系统,注重清晰阐释与现实案例,带你从基础回归技术到高级神经网络,全面掌握Scikit-Learn和PyTorch等前沿工具。无论你是学生、从业者还是爱好者,都能在此习得构建智能系统的核心技能。

  • 掌握机器学习基础,包括过拟合与超参数调优等概念
  • 运用scikit-learn完成端到端机器学习项目,涵盖数据探索到模型评估的全流程
  • 掌握无监督学习技术,如聚类分析与异常检测
  • 运用PyTorch构建变换器和扩散模型等高级架构
  • 驾驭预训练模型(包括LLMs)的强大功能,并掌握微调技巧
  • 运用强化学习训练自主智能体
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Publisher Resources

ISBN: 0642572270117