Machine Learning Crash Course には、numpy、pandas、Keras などの ML ライブラリを使用するいくつかのプログラミング演習が含まれていますが、主に ML のコンセプトの説明に重点を置いており、ML API を詳しく説明するものではありません。Keras のその他のリソースについては、Keras デベロッパー ガイドをご覧ください。
[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["必要な情報がない","missingTheInformationINeed","thumb-down"],["複雑すぎる / 手順が多すぎる","tooComplicatedTooManySteps","thumb-down"],["最新ではない","outOfDate","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["サンプル / コードに問題がある","samplesCodeIssue","thumb-down"],["その他","otherDown","thumb-down"]],["最終更新日 2025-01-28 UTC。"],[[["Google's Machine Learning Crash Course offers a flexible learning experience for users with varying levels of machine learning expertise, including beginners, those seeking a refresher, and experienced practitioners."],["The course requires prework, such as familiarity with Python, NumPy, and pandas, and has prerequisites in algebra, linear algebra, statistics, and optionally, calculus, to fully grasp the concepts."],["While focusing on core ML concepts, the course incorporates practical programming exercises using libraries like NumPy, pandas, and Keras but doesn't delve deep into specific ML APIs."],["Learners are encouraged to complete the prework, including an introductory machine learning course and tutorials for NumPy and pandas, to ensure preparedness."],["The course leverages the Colaboratory platform, offering browser-based programming exercises that require no setup and are best experienced on Chrome or Firefox desktops."]]],[]]