[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["缺少我需要的資訊","missingTheInformationINeed","thumb-down"],["過於複雜/步驟過多","tooComplicatedTooManySteps","thumb-down"],["過時","outOfDate","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["示例/程式碼問題","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間：2022-09-27 (世界標準時間)。"],[[["\u003cp\u003eThis course helps you identify if a problem is suitable for machine learning solutions.\u003c/p\u003e\n"],["\u003cp\u003eYou will learn how to define an ML problem, select the appropriate model, and establish success metrics.\u003c/p\u003e\n"],["\u003cp\u003eThe course provides guidance on framing your problem for machine learning and outlines the steps to build a solution.\u003c/p\u003e\n"]]],[],null,["\u003cbr /\u003e\n\n*Introduction to Machine Learning Problem Framing* teaches you how to determine\nif machine learning (ML) is a good approach for a problem and explains how to\noutline an ML solution.\n| **Estimated Course Length:** 45 minutes\n| **Objectives:**\n|\n| - Identify if ML is a good solution for a problem.\n| - Learn how to frame an ML problem.\n| - Understand how to pick the right model and define success metrics."]]
