[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["没有我需要的信息","missingTheInformationINeed","thumb-down"],["太复杂/步骤太多","tooComplicatedTooManySteps","thumb-down"],["内容需要更新","outOfDate","thumb-down"],["翻译问题","translationIssue","thumb-down"],["示例/代码问题","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-01-30。"],[[["AutoML automates tasks in the machine learning workflow, like feature engineering, algorithm selection, and hyperparameter tuning, making model building faster and easier."],["While manual training involves writing code and iteratively adjusting it, AutoML reduces repetitive work and the need for specialized skills."],["AutoML empowers users to focus on the core machine learning problem and data instead of getting bogged down in manual tasks within the model development cycle."],["This module explores the benefits and limitations of using AutoML, common patterns, and how to apply them to machine learning projects, assuming prior knowledge of basic machine learning concepts."]]],[]]