diff --git a/README-fr-FR.md b/README-fr-FR.md index 86188f3..f233e4c 100644 --- a/README-fr-FR.md +++ b/README-fr-FR.md @@ -148,7 +148,7 @@ Chaque jours, je choisis un sujet de la liste juste en dessous et je le lis enti ## Découvrir le Machine learning - [ ] [Introduction au Machine Learning en image](http://www.r2d3.us/visual-intro-to-machine-learning-part-1/) -- [ ] [Un guide pour aborder le Machine Learning en douceur](https://blog.monkeylearn.com/a-gentle-guide-to-machine-learning/) +- [ ] [Un guide pour aborder le Machine Learning en douceur](https://monkeylearn.com/blog/gentle-guide-to-machine-learning/) - [ ] [Introduction au Machine Learning pour développeur](http://blog.algorithmia.com/introduction-machine-learning-developers/) - [ ] [Les bases du Machines Learning pour débutant](https://www.analyticsvidhya.com/blog/2015/06/machine-learning-basics/) - [ ] [Comment expliquer le Machine Learning et le Data Mining aux non-initiés?](https://www.quora.com/How-do-you-explain-Machine-Learning-and-Data-Mining-to-non-Computer-Science-people) diff --git a/README-pt-BR.md b/README-pt-BR.md index 3443b24..7e2cd83 100644 --- a/README-pt-BR.md +++ b/README-pt-BR.md @@ -121,7 +121,7 @@ Cada dia eu pego um assunto da lista abaixo, leia de capa a capa, tome nota, fa ## Visão geral do Machine learning - [ ] [A Visual Introduction to Machine Learning](http://www.r2d3.us/visual-intro-to-machine-learning-part-1/) -- [ ] [A Gentle Guide to Machine Learning](https://blog.monkeylearn.com/a-gentle-guide-to-machine-learning/) +- [ ] [A Gentle Guide to Machine Learning](https://monkeylearn.com/blog/gentle-guide-to-machine-learning/) - [ ] [Machine Learning basics for a newbie](https://www.analyticsvidhya.com/blog/2015/06/machine-learning-basics/) ## Maestria do Machine learning diff --git a/README-zh-CN.md b/README-zh-CN.md index b7ace54..3c25c7a 100644 --- a/README-zh-CN.md +++ b/README-zh-CN.md @@ -129,7 +129,7 @@ ## 机器学习概论 - [ ] [形象的机器学习简介](http://www.r2d3.us/visual-intro-to-machine-learning-part-1/) -- [ ] [一份温柔的机器学习指南](https://blog.monkeylearn.com/a-gentle-guide-to-machine-learning/) +- [ ] [一份温柔的机器学习指南](https://monkeylearn.com/blog/gentle-guide-to-machine-learning/) - [ ] [为开发者准备的机器学习简介](http://blog.algorithmia.com/introduction-machine-learning-developers/) - [ ] [菜鸟的机器学习基础](https://www.analyticsvidhya.com/blog/2015/06/machine-learning-basics/) - [ ] [你如何向非计算机专业的人来解释机器学习与数据挖掘？](https://www.quora.com/How-do-you-explain-Machine-Learning-and-Data-Mining-to-non-Computer-Science-people) diff --git a/README-zh-TW.md b/README-zh-TW.md index 3d5225f..6255e7e 100644 --- a/README-zh-TW.md +++ b/README-zh-TW.md @@ -129,7 +129,7 @@ ## 機器學習概論 - [ ] [機器學習的形象簡介](http://www.r2d3.us/visual-intro-to-machine-learning-part-1/) -- [ ] [一份輕鬆的機器學習指南](https://blog.monkeylearn.com/a-gentle-guide-to-machine-learning/) +- [ ] [一份輕鬆的機器學習指南](https://monkeylearn.com/blog/gentle-guide-to-machine-learning/) - [ ] [為開發者準備的機器學習簡介](http://blog.algorithmia.com/introduction-machine-learning-developers/) - [ ] [菜鳥的機器學習基礎](https://www.analyticsvidhya.com/blog/2015/06/machine-learning-basics/) - [ ] [你如何向非計算機專業的人來解釋機器學習與資料探勘？](https://www.quora.com/How-do-you-explain-Machine-Learning-and-Data-Mining-to-non-Computer-Science-people) diff --git a/README.md b/README.md index 196019c..9ed9d23 100644 --- a/README.md +++ b/README.md @@ -140,7 +140,7 @@ Each day I take one subject from the list below, read it cover to cover, take no ## Machine learning overview - [ ] [A Visual Introduction to Machine Learning](http://www.r2d3.us/visual-intro-to-machine-learning-part-1/) -- [ ] [Gentle Guide to Machine Learning](https://blog.monkeylearn.com/gentle-guide-to-machine-learning/) +- [ ] [Gentle Guide to Machine Learning](https://monkeylearn.com/blog/gentle-guide-to-machine-learning/) - [ ] [Introduction to Machine Learning for Developers](http://blog.algorithmia.com/introduction-machine-learning-developers/) - [ ] [Machine Learning basics for a newbie](https://www.analyticsvidhya.com/blog/2015/06/machine-learning-basics/) - [ ] [How do you explain Machine Learning and Data Mining to non Computer Science people?](https://www.quora.com/How-do-you-explain-Machine-Learning-and-Data-Mining-to-non-Computer-Science-people)