path to quizzes needs to change

1-Introduction/1-intro-to-ML/README.md

@@ -4,7 +4,7 @@
 
 > 🎥 Click the image above for a video discussing the difference between machine learning, AI, and deep learning.
 
-## [Pre-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/1/)
+## [Pre-lecture quiz](https://white-water-09ec41f0f.azurestaticapps.net/quiz/1/)
 
 ### Introduction
 
@@ -96,7 +96,7 @@ In the near future, understanding the basics of machine learning is going to be
 
 Sketch, on paper or using an online app like [Excalidraw](https://excalidraw.com/), your understanding of the differences between AI, ML, deep learning, and data science. Add some ideas of problems that each of these techniques are good at solving.
 
-## [Post-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/2/)
+## [Post-lecture quiz](https://white-water-09ec41f0f.azurestaticapps.net/quiz/2/)
 
 ## Review & Self Study
 

1-Introduction/1-intro-to-ML/translations/README.fr.md

@@ -4,7 +4,7 @@
 
 > 🎥 Cliquer sur l'image ci-dessus afin de regarder une vidéo expliquant la différence entre machine learning, AI et deep learning.
 
-## [Quiz préalable](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/1?loc=fr)
+## [Quiz préalable](https://white-water-09ec41f0f.azurestaticapps.net/quiz/1?loc=fr)
 
 ### Introduction
 
@@ -98,7 +98,7 @@ Dans un avenir proche, comprendre les bases du machine learning sera indispensab
 
 Esquisser, sur papier ou à l'aide d'une application en ligne comme [Excalidraw](https://excalidraw.com/), votre compréhension des différences entre l'IA, le ML, le deep learning et la data science. Ajouter quelques idées de problèmes que chacune de ces techniques est bonne à résoudre.
 
-## [Quiz de validation des connaissances](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/2?loc=fr)
+## [Quiz de validation des connaissances](https://white-water-09ec41f0f.azurestaticapps.net/quiz/2?loc=fr)
 
 ## Révision et auto-apprentissage
 

1-Introduction/1-intro-to-ML/translations/README.id.md

@@ -4,7 +4,7 @@
 
 > 🎥 Klik gambar diatas untuk menonton video yang mendiskusikan perbedaan antara Machine Learning, AI, dan Deep Learning.
 
-## [Quiz Pra-Pelajaran](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/1/)
+## [Quiz Pra-Pelajaran](https://white-water-09ec41f0f.azurestaticapps.net/quiz/1/)
 
 ### Pengantar
 
@@ -96,7 +96,7 @@ Dalam waktu dekat, memahami dasar-dasar Machine Learning akan menjadi suatu keha
 
 Buat sketsa di atas kertas atau menggunakan aplikasi seperti [Excalidraw](https://excalidraw.com/), mengenai pemahaman kamu tentang perbedaan antara AI, ML, Deep Learning, dan Data Science. Tambahkan beberapa ide masalah yang cocok diselesaikan masing-masing teknik.
 
-## [Quiz Pasca-Pelajaran](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/2/)
+## [Quiz Pasca-Pelajaran](https://white-water-09ec41f0f.azurestaticapps.net/quiz/2/)
 
 ## Ulasan & Belajar Mandiri
 

1-Introduction/1-intro-to-ML/translations/README.it.md

@@ -4,7 +4,7 @@
 
 > 🎥 Fare clic sull'immagine sopra per un video che illustra la differenza tra machine learning, intelligenza artificiale (AI) e deep learning.
 
-## [Quiz Pre-Lezione](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/1/)
+## [Quiz Pre-Lezione](https://white-water-09ec41f0f.azurestaticapps.net/quiz/1/)
 
 ### Introduzione
 
@@ -97,7 +97,7 @@ Nel prossimo futuro, comprendere le basi di machine learning sarà un must per l
 
 Disegnare, su carta o utilizzando un'app online come [Excalidraw](https://excalidraw.com/), la propria comprensione delle differenze tra AI, ML, deep learning e data science. Aggiungere alcune idee sui problemi che ciascuna di queste tecniche è in grado di risolvere.
 
-## [Quiz post-lezione](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/2/)
+## [Quiz post-lezione](https://white-water-09ec41f0f.azurestaticapps.net/quiz/2/)
 
 ## Revisione e Auto Apprendimento
 

1-Introduction/1-intro-to-ML/translations/README.ja.md

@@ -4,7 +4,7 @@
 
 > 🎥 上の画像をクリックすると、機械学習、AI、深層学習の違いについて説明した動画が表示されます。
 
-## [Pre-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/1?loc=ja)
+## [Pre-lecture quiz](https://white-water-09ec41f0f.azurestaticapps.net/quiz/1?loc=ja)
 
 ### イントロダクション
 
@@ -94,7 +94,7 @@
 ## 🚀 Challenge
 AI、ML、深層学習、データサイエンスの違いについて理解していることを、紙や[Excalidraw](https://excalidraw.com/)などのオンラインアプリを使ってスケッチしてください。また、それぞれの技術が得意とする問題のアイデアを加えてみてください。
 
-## [Post-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/2?loc=ja)
+## [Post-lecture quiz](https://white-water-09ec41f0f.azurestaticapps.net/quiz/2?loc=ja)
 
 ## 振り返りと自習
 

1-Introduction/1-intro-to-ML/translations/README.tr.md

@@ -4,7 +4,7 @@
 
 > 🎥  Makine öğrenimi, yapay zeka ve derin öğrenme arasındaki farkı tartışan bir video için yukarıdaki resme tıklayın.
 
-## [Ders öncesi sınav](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/1?loc=tr)
+## [Ders öncesi sınav](https://white-water-09ec41f0f.azurestaticapps.net/quiz/1?loc=tr)
 
 ### Introduction
 
@@ -103,7 +103,7 @@ Yakın gelecekte, yaygın olarak benimsenmesi nedeniyle makine öğreniminin tem
 
 Kağıt üzerinde veya [Excalidraw](https://excalidraw.com/) gibi çevrimiçi bir uygulama kullanarak AI, makine öğrenimi, derin öğrenme ve veri bilimi arasındaki farkları anladığınızdan emin olun. Bu tekniklerin her birinin çözmede iyi olduğu bazı problem fikirleri ekleyin.
 
-## [Ders sonrası test](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/2?loc=tr)
+## [Ders sonrası test](https://white-water-09ec41f0f.azurestaticapps.net/quiz/2?loc=tr)
 
 ## İnceleme ve Bireysel Çalışma
 

1-Introduction/1-intro-to-ML/translations/README.zh-cn.md

@@ -4,7 +4,7 @@
 
 > 🎥 点击上面的图片观看讨论机器学习、人工智能和深度学习之间区别的视频。
 
-## [课前测验](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/1/)
+## [课前测验](https://white-water-09ec41f0f.azurestaticapps.net/quiz/1/)
 
 ### 介绍
 
@@ -96,7 +96,7 @@
 
 在纸上或使用[Excalidraw](https://excalidraw.com/)等在线应用程序绘制草图，了解你对AI、ML、深度学习和数据科学之间差异的理解。添加一些关于这些技术擅长解决的问题的想法。
 
-## [阅读后测验](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/2/)
+## [阅读后测验](https://white-water-09ec41f0f.azurestaticapps.net/quiz/2/)
 
 ## 复习与自学
 

1-Introduction/2-history-of-ML/README.md

@@ -3,7 +3,7 @@
 ![Summary of History of machine learning in a sketchnote](../../sketchnotes/ml-history.png)
 > Sketchnote by [Tomomi Imura](https://www.twitter.com/girlie_mac)
 
-## [Pre-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/3/)
+## [Pre-lecture quiz](https://white-water-09ec41f0f.azurestaticapps.net/quiz/3/)
 
 In this lesson, we will walk through the major milestones in the history of machine learning and artificial intelligence.
 
@@ -101,7 +101,7 @@ It remains to be seen what the future holds, but it is important to understand t
 
 Dig into one of these historical moments and learn more about the people behind them. There are fascinating characters, and no scientific discovery was ever created in a cultural vacuum. What do you discover?
 
-## [Post-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/4/)
+## [Post-lecture quiz](https://white-water-09ec41f0f.azurestaticapps.net/quiz/4/)
 
 ## Review & Self Study
 

1-Introduction/2-history-of-ML/translations/README.es.md

@@ -3,7 +3,7 @@
 ![Resumen de la historoia del machine learning en un boceto](../../sketchnotes/ml-history.png)
 > Boceto por [Tomomi Imura](https://www.twitter.com/girlie_mac)
 
-## [Cuestionario previo a la conferencia](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/3/)
+## [Cuestionario previo a la conferencia](https://white-water-09ec41f0f.azurestaticapps.net/quiz/3/)
 
 En esta lección, analizaremos los principales hitos en la historia del machine learning y la inteligencia artificial.
 
@@ -102,7 +102,7 @@ Queda por ver qué depara el futuro, pero es importante entender estos sistemas
 
 Sumérjase dentro de unos de estos momentos históricos y aprenda más sobre las personas detrás de ellos. Hay personajes fascinantes y nunca se creó ningún descubrimiento científico en un vacío cultural. ¿Qué descubres?
 
-## [Cuestionario posterior a la conferencia](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/4/)
+## [Cuestionario posterior a la conferencia](https://white-water-09ec41f0f.azurestaticapps.net/quiz/4/)
 
 ## Revisión y autoestudio
 

1-Introduction/2-history-of-ML/translations/README.fr.md

@@ -3,7 +3,7 @@
 ![Résumé de l'histoire du machine learning dans un sketchnote](../../../sketchnotes/ml-history.png)
 > Sketchnote de [Tomomi Imura](https://www.twitter.com/girlie_mac)
 
-## [Quizz préalable](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/3?loc=fr)
+## [Quizz préalable](https://white-water-09ec41f0f.azurestaticapps.net/quiz/3?loc=fr)
 
 Dans cette leçon, nous allons parcourir les principales étapes de l'histoire du machine learning et de l'intelligence artificielle.
 
@@ -102,7 +102,7 @@ Reste à savoir ce que l'avenir nous réserve, mais il est important de comprend
 
 Plongez dans l'un de ces moments historiques et apprenez-en plus sur les personnes derrière ceux-ci. Il y a des personnalités fascinantes, et aucune découverte scientifique n'a jamais été créée avec un vide culturel. Que découvrez-vous ?
 
-## [Quiz de validation des connaissances](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/4?loc=fr)
+## [Quiz de validation des connaissances](https://white-water-09ec41f0f.azurestaticapps.net/quiz/4?loc=fr)
 
 ## Révision et auto-apprentissage
 

1-Introduction/2-history-of-ML/translations/README.id.md

@@ -3,7 +3,7 @@
 ![Ringkasan dari Sejarah Machine Learning dalam sebuah catatan sketsa](../../../sketchnotes/ml-history.png)
 > Catatan sketsa oleh [Tomomi Imura](https://www.twitter.com/girlie_mac)
 
-## [Quiz Pra-Pelajaran](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/3/)
+## [Quiz Pra-Pelajaran](https://white-water-09ec41f0f.azurestaticapps.net/quiz/3/)
 
 Dalam pelajaran ini, kita akan membahas tonggak utama dalam sejarah Machine Learning dan Artificial Intelligence. 
 
@@ -101,7 +101,7 @@ Kita masih belum tahu apa yang akan terjadi di masa depan, tetapi penting untuk
 
 Gali salah satu momen bersejarah ini dan pelajari lebih lanjut tentang orang-orang di baliknya. Ada karakter yang menarik, dan tidak ada penemuan ilmiah yang pernah dibuat dalam kekosongan budaya. Apa yang kamu temukan? 
 
-## [Quiz Pasca-Pelajaran](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/4/)
+## [Quiz Pasca-Pelajaran](https://white-water-09ec41f0f.azurestaticapps.net/quiz/4/)
 
 ## Ulasan & Belajar Mandiri
 

1-Introduction/2-history-of-ML/translations/README.it.md

@@ -3,7 +3,7 @@
 ![Riepilogo della storia di machine learning in uno sketchnote](../../../sketchnotes/ml-history.png)
 > Sketchnote di [Tomomi Imura](https://www.twitter.com/girlie_mac)
 
-## [Quiz Pre-Lezione](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/3/)
+## [Quiz Pre-Lezione](https://white-water-09ec41f0f.azurestaticapps.net/quiz/3/)
 
 In questa lezione, si camminerà attraverso le principali pietre miliari nella storia di machine learning e dell'intelligenza artificiale.
 
@@ -103,7 +103,7 @@ Resta da vedere cosa riserva il futuro, ma è importante capire questi sistemi i
 Approfondire uno di questi momenti storici e scoprire
  di più sulle persone che stanno dietro ad essi. Ci sono personaggi affascinanti e nessuna scoperta scientifica è mai stata creata in un vuoto culturale. Cosa si è scoperto?
 
-## [Quiz post-lezione](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/4/)
+## [Quiz post-lezione](https://white-water-09ec41f0f.azurestaticapps.net/quiz/4/)
 
 ## Revisione e Auto Apprendimento
 

1-Introduction/2-history-of-ML/translations/README.ja.md

@@ -3,7 +3,7 @@
 ![機械学習の歴史をまとめたスケッチ](../../../sketchnotes/ml-history.png)
 > [Tomomi Imura](https://www.twitter.com/girlie_mac)によるスケッチ
 
-## [Pre-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/3?loc=ja)
+## [Pre-lecture quiz](https://white-water-09ec41f0f.azurestaticapps.net/quiz/3?loc=ja)
 
 この授業では、機械学習と人工知能の歴史における主要な出来事を紹介します。
 
@@ -99,7 +99,7 @@
 
 これらの歴史的瞬間の1つを掘り下げて、その背後にいる人々について学びましょう。魅力的な人々がいますし、文化的に空白の状態で科学的発見がなされたことはありません。どういったことが見つかるでしょうか？
 
-## [Post-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/4?loc=ja)
+## [Post-lecture quiz](https://white-water-09ec41f0f.azurestaticapps.net/quiz/4?loc=ja)
 
 ## 振り返りと自習
 

1-Introduction/2-history-of-ML/translations/README.tr.md

@@ -3,7 +3,7 @@
 ![Bir taslak-notta makine öğrenimi geçmişinin özeti](../../../sketchnotes/ml-history.png)
 > [Tomomi Imura](https://www.twitter.com/girlie_mac) tarafından hazırlanan taslak-not
 
-## [Ders öncesi test](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/3?loc=tr)
+## [Ders öncesi test](https://white-water-09ec41f0f.azurestaticapps.net/quiz/3?loc=tr)
 
 Bu derste, makine öğrenimi ve yapay zeka tarihindeki önemli kilometre taşlarını inceleyeceğiz.
 
@@ -102,7 +102,7 @@ Geleceğin neler getireceğini birlikte göreceğiz, ancak bu bilgisayar sisteml
 
 Bu tarihi anlardan birine girin ve arkasındaki insanlar hakkında daha fazla bilgi edinin. Büyüleyici karakterler var ve kültürel bir boşlukta hiçbir bilimsel keşif yaratılmadı. Ne keşfedersiniz?
 
-## [Ders sonrası test](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/4?loc=tr)
+## [Ders sonrası test](https://white-water-09ec41f0f.azurestaticapps.net/quiz/4?loc=tr)
 
 ## İnceleme ve Bireysel Çalışma
 

1-Introduction/2-history-of-ML/translations/README.zh-cn.md

@@ -3,7 +3,7 @@
 ![机器学习历史概述](../../../sketchnotes/ml-history.png)
 > 作者[Tomomi Imura](https://www.twitter.com/girlie_mac)
 
-## [课前测验](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/3/)
+## [课前测验](https://white-water-09ec41f0f.azurestaticapps.net/quiz/3/)
 
 在本课中，我们将走过机器学习和人工智能历史上的主要里程碑。 
 
@@ -101,7 +101,7 @@ Alan Turing，一个真正杰出的人，[在2019年被公众投票选出](https
 
 深入了解这些历史时刻之一，并更多地了解它们背后的人。这里有许多引人入胜的人物，没有一项科学发现是在文化真空中创造出来的。你发现了什么？
 
-## [课后测验](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/4/)
+## [课后测验](https://white-water-09ec41f0f.azurestaticapps.net/quiz/4/)
 
 ## 复习与自学
 

1-Introduction/3-fairness/README.md

@@ -3,7 +3,7 @@
 ![Summary of Fairness in Machine Learning in a sketchnote](../../sketchnotes/ml-fairness.png)
 > Sketchnote by [Tomomi Imura](https://www.twitter.com/girlie_mac)
 
-## [Pre-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/5/)
+## [Pre-lecture quiz](https://white-water-09ec41f0f.azurestaticapps.net/quiz/5/)
 
 ## Introduction
 
@@ -184,7 +184,7 @@ To prevent biases from being introduced in the first place, we should:
 
 Think about real-life scenarios where unfairness is evident in model-building and usage. What else should we consider? 
 
-## [Post-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/6/)
+## [Post-lecture quiz](https://white-water-09ec41f0f.azurestaticapps.net/quiz/6/)
 ## Review & Self Study 
 
 In this lesson, you have learned some basics of the concepts of fairness and unfairness in machine learning.  

1-Introduction/3-fairness/translations/README.id.md

@@ -3,7 +3,7 @@
 ![Ringkasan dari Keadilan dalam Machine Learning dalam sebuah catatan sketsa](../../../sketchnotes/ml-fairness.png)
 > Catatan sketsa oleh [Tomomi Imura](https://www.twitter.com/girlie_mac)
 
-## [Quiz Pra-Pelajaran](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/5/)
+## [Quiz Pra-Pelajaran](https://white-water-09ec41f0f.azurestaticapps.net/quiz/5/)
 
 ## Pengantar
 
@@ -90,11 +90,11 @@ Lima jenis bahaya utama ini tidak saling eksklusif, dan satu sistem dapat menunj
 
 ✅ **Diskusi**: Tinjau kembali beberapa contoh dan lihat apakah mereka menunjukkan bahaya yang berbeda.  
 
-|                         | Alokasi | Kualitas Layanan | Stereotip | Fitnah | Representasi yang kurang atau berlebihan |
-| ----------------------- | :--------: | :----------------: | :----------: | :---------: | :----------------------------: |
-| Sistem perekrutan otomatis |     x      |         x          |      x       |             |               x                |
-| Terjemahan mesin     |            |                    |              |             |                                |
-| Melabeli foto          |            |                    |              |             |                                |
+|                            | Alokasi | Kualitas Layanan | Stereotip | Fitnah | Representasi yang kurang atau berlebihan |
+| -------------------------- | :-----: | :--------------: | :-------: | :----: | :--------------------------------------: |
+| Sistem perekrutan otomatis |    x    |        x         |     x     |        |                    x                     |
+| Terjemahan mesin           |         |                  |           |        |                                          |
+| Melabeli foto              |         |                  |           |        |                                          |
 
 
 ## Mendeteksi Ketidakadilan 
@@ -185,7 +185,7 @@ Untuk mencegah kemunculan bias pada awalnya, kita harus:
 
 Pikirkan tentang skenario kehidupan nyata di mana ketidakadilan terbukti dalam pembuatan dan penggunaan model. Apa lagi yang harus kita pertimbangkan? 
 
-## [Quiz Pasca-Pelajaran](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/6/)
+## [Quiz Pasca-Pelajaran](https://white-water-09ec41f0f.azurestaticapps.net/quiz/6/)
 ## Ulasan & Belajar Mandiri 
 
 Dalam pelajaran ini, Kamu telah mempelajari beberapa dasar konsep keadilan dan ketidakadilan dalam pembelajaran mesin.