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Latihan berikut menunjukkan cara mengaudit {i>dataset<i} secara adil dalam
dan cara menggunakan strategi perbaikan bias
untuk mengatasi perlakuan yang adil
masalah:
Latihan pemrograman dijalankan langsung di browser Anda (tanpa penyiapan
diperlukan!) menggunakan class Colaboratory
terkelola sepenuhnya. Colaboratory didukung di sebagian besar browser utama, dan sebagian besar
diuji secara menyeluruh pada Chrome dan Firefox versi desktop.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Informasi yang saya butuhkan tidak ada","missingTheInformationINeed","thumb-down"],["Terlalu rumit/langkahnya terlalu banyak","tooComplicatedTooManySteps","thumb-down"],["Sudah usang","outOfDate","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Masalah kode / contoh","samplesCodeIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2024-08-13 UTC."],[[["This exercise demonstrates how to audit data sets for fairness and apply bias-remediation strategies."],["The programming exercises are run directly in your browser using the Colaboratory platform with no setup required."],["Colaboratory is supported on most major browsers and is most thoroughly tested on desktop versions of Chrome and Firefox."],["Users can access a Help Center for support with machine learning education."]]],[]]
