Get Started with Databricks for Machine Learning - Mandarin Chinese
在本课程中，您将培养使用 Databricks Data Intelligence Platform 执行机器学习工作流程及支持数据科学工作负载所需的基础技能。您将从机器学习从业者的视角探索该平台，涵盖以下主题：使用 Unity Catalog 中的特征工 程构建和管理特征、使用 MLflow 进行端到端模型生命周期管理，以及使用 Lakeflow Jobs 进行管道编排。此外，您还将学习使用 Databricks Model Serving 进行实时模型推理，并通过 Genie Code - Data Science Agent Mode 体验 Databricks 透明、对话式的模型开发方式——在该模式下，您可以使用自然语言提示，直接在笔记本中生成、运行并迭代优化可执行的 ML 工作流程。本课程包含讲师主导的演示环节，并以一个综合性实验室作为结尾，以强化整个课程所涵盖的概念。
注意：Databricks Academy 正在将 Databricks 环境中的课堂课程转为基于 notebook 的形式，并停止在讲座中使用幻灯片。您可以在 Vocareum 实验环境中访问课程 notebook。
本课程的内容面向具备以下技能、知识和能力的学员:
• 具备 Python 基础知识。
• 对 DS/ML 概念（例如分类和回归模型）、常见模型指标（例如 F1-score）以及 Python 库（例如 scikit-learn 和 XGBoost）有基本了解
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