April 2026
Intermediate
586 pages
7h 41m
Chinese
Content preview from 学习 AutoML (Chinese Edition)Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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索引
A
- A/B测试、模型再训练与持续优化
- 在欺诈检测中的应用、用于模型更新的A/B测试
- 准确率，二分类详解
- 获取函数，获取函数
- 加性回归模型，模型库
- 代理工作流，总结
- AI 编码助手，解决数据科学人才短缺问题
- AIDE（AI驱动探索），概述
- Amazon Comprehend，托管服务与自定义模型
- Amazon Forecast ，Amazon Forecast：全托管预测服务
- Amazon Rekognition，自定义模型与托管服务之间的选择
- Amazon SageMaker ，使用 SageMaker 部署自定义模型
- 自动模型调优，AWS SageMaker 自动模型调优
- Autopilot ，为表格数据选择合适的 AutoML 框架
- 端点，SageMaker 端点部署
- 特征库，生产就绪的预处理管道
- Ground Truth ，使用 SageMaker Ground Truth 构建训练数据集
- 模型监控器 ，模型监控与维护 ，生产就绪的前处理管道，AutoGluon 的监控工具 ，SageMaker 模型监控器集成
- Neo，AWS 部署堆栈
- 无服务器推理 ，SageMaker 无服务器推理实现经济高效的部署
- 训练编译器，AWS 部署堆栈
- Apache Airflow ，使用 Apache Airflow 实现数据管道自动化——概述
- 机器学习工作流架构，机器学习工作流的 Airflow 架构——为 AutoML 设计 DAG数据摄取
- 补进行为，理解补进行为
- 连接，理解连接
- 核心组件，核心组件——Airflow 关键术语
- DAG ，使用 Apache Airflow 实现数据管道自动化
- 数据摄取设计， 设计用于 AutoML 数据摄取的 DAG
- 初始化和配置， DAG 初始化和配置——理解补进行为
- 动态任务映射，用于并行处理的动态任务映射
- 关键术语，Airflow 关键术语——为 AutoML 数据摄取设计 DAG
- 企业级扩展， 企业级 AutoML 的 Airflow 扩展——运营卓越与最佳实践
- XCom，理解XCom
- 架构迁移，架构迁移与元学习
- ARIMA 模型，模型库
- Arize，模型监控与维护
- 工件管理，工件管理策略——基于 Kubeflow 的工作流编排
- 构建产物爆炸挑战，构建产物爆炸挑战——确保自动化系统的可重现性
- 异步连续减半（ASHA），异步连续减半（ASHA）
- 注意力机制，Transformer 革命及其未来
- 自动缩放，使用 SageMaker 部署自定义模型
- Auto -sklearn，主流框架对比 ，Auto-sklearn (2015)，随机森林 ，规模化挑战
- Auto-WEKA，主流框架 对比，Auto-WEKA (2013)
- 自编码器，表征学习集成
- AutoGluon，主流框架对比 ，AutoGluon（亚马逊）
- 高级定制，高级定制——模型可解释性与调试
- 自动数据处理，AutoGluon 的自动数据处理-高级自定义
- 计算机视觉， 基于 AutoGluon 的计算机视觉——概述
- 示例项目，项目：泰坦尼克号生存预测
- 特征重要性输出，理解 TabularPredictor 输出
- 排行榜特征，理解 TabularPredictor 输出
- 模型可解释性与调试，模型可解释性与调试-项目：泰坦尼克号生存预测
- 环境搭建，AutoGluon 与环境搭建——为表格数据选择合适的 AutoML 框架
- 针对表格数据，AutoGluon ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.