From e2a23ff28a93bf58264c9f10721f229dec4ffdac Mon Sep 17 00:00:00 2001 From: clf <53817093+clingfei@users.noreply.github.com> Date: Thu, 22 Sep 2022 12:42:13 +0800 Subject: [PATCH 1/3] [TRANSLATION] translate CS144.md (#237) * [TRANSLATION] translate CS144.md * [TRANSLATION] translate CS144.md --- docs/计算机网络/CS144.en.md | 35 +++++++++++++++++++++++++++++++++++ 1 file changed, 35 insertions(+) create mode 100644 docs/计算机网络/CS144.en.md diff --git a/docs/计算机网络/CS144.en.md b/docs/计算机网络/CS144.en.md new file mode 100644 index 00000000..c231b19c --- /dev/null +++ b/docs/计算机网络/CS144.en.md @@ -0,0 +1,35 @@ +# CS144: Computer Network + +## Introduction + +- Offered by: Stanford +- Prerequisites: Computer System Fundamentals, CS106L +- Programming Language: C++ +- Difficulty: 🌟🌟🌟🌟🌟 +- Class Hour: 100 hours + +One of the lecturers of this course is Professor [Nick McKeown](http://yuba.stanford.edu/~nickm/index.html), a giant in the field of Networking. At the end of each chapter of MOOC, he will interview an executive in the industry or an expert in the academia, which can certainly broaden your horizons. + +In the projects, you will use C++ to build the entire TCP/IP protocol stack, the IP router, and the ARP protocol step by step from scratch. Finally, you will replace Linux Kernel's protocol stack with your own and use socket programming to communicate with your classmates, which is really amazing and exciting. + +## Resources + +- Course Website: +- Video: +- Textbook: None +- Assignments: refer to the course website + +## Reference + +- [PKUFlyingPig](https://github.com/PKUFlyingPig/CS144-Computer-Network) +- [Lexssama's Blogs](https://lexssama.github.io/tags/CS144/) +- [huangrt01](https://github.com/huangrt01/CS-Notes/blob/master/Notes/Output/Computer-Networking-Lab-CS144-Stanford.md) +- [kiprey](https://kiprey.github.io/tags/CS144/) +- [康宇PL's Blog](https://www.cnblogs.com/kangyupl/p/stanford_cs144_labs.html) +- [doraemonzzz](http://doraemonzzz.com/tags/CS144/) +- [ViXbob's libsponge](https://vixbob.moe/25.html) +- [吃着土豆坐地铁的博客](https://www.epis2048.net/categories/Code/Stanford-CS144/) +- [Smith](https://www.inlighting.org/archives/2021-cs144-notes/) +- [星遥见](https://www.cnblogs.com/weijunji/tag/CS144/) +- [EIMadrigal](https://www.cnblogs.com/EIMadrigal/p/15500472.html) +- [Joey](http://yuzijun.life/2021-02/CS144) \ No newline at end of file From c602fd861fa3b5c27d02500b3f558a2cc169d4b4 Mon Sep 17 00:00:00 2001 From: tangfqj <98503280+tangfqj@users.noreply.github.com> Date: Thu, 22 Sep 2022 14:21:41 +0800 Subject: [PATCH 2/3] [TRANSLATION]Translate ML.md (#238) * translate MITLA.md * Translate MITLA.md * Translate MITLA.md * Translate MITLA.md * Translate CS61B.md * Translate CS61B.md * [TRANSLATION] * TRANSLATION * Correct an error in CS106L.en.md * [TRANSLATION]Translate ML.md * [TRANSLATION]Fix some improper translations --- docs/机器学习/ML.en.md | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) create mode 100644 docs/机器学习/ML.en.md diff --git a/docs/机器学习/ML.en.md b/docs/机器学习/ML.en.md new file mode 100644 index 00000000..6fb553e1 --- /dev/null +++ b/docs/机器学习/ML.en.md @@ -0,0 +1,26 @@ +# Coursera: Machine Learning + +## Descriptions + +- Offered by: Stanford +- Prerequisites: entry level of AI and proficient in Python +- Programming Languages: Python +- Difficulty: 🌟🌟🌟 +- Class Hour: 100 hours + +When it comes to Andrew Ng, no one in the AI community should be unaware of him. He is one of the founders of the famous online education platform [Coursera](https://www.coursera.org), and also a famous professor at Stanford. This introductory machine learning course must be one of his famous works (the other is his deep learning course), and has hundreds of thousands of learners on Coursera (note that these are people who paid for the certificate, which costs several hundred dollars), and the number of nonpaying learners should be far more than that. + +The class is extremely friendly to novices, and Andrew has the ability to make machine learning as straightforward as 1+1=2. You'll learn about linear regression, logistic regression, support vector machines, unsupervised learning, dimensionality reduction, anomaly detection, and recommender systems, etc. and solidify your understanding with hands-on programming. The quality of the assignments needs no word to say. With detailed code frameworks and practical background, you can use what you've learned to solve real problems. + +Of course, as a public mooc, the difficulty of this course has been deliberately lowered, and many mathematical derivations are skimmed over. If you are interested in machine learning theory and want to investigate the mathematical theory behind these algorithms, you can refer to [CS229](. /CS229.md) and [CS189](. /CS189.md). + +## Course Resources + +- Course Website: +- Recordings: refer to the course website +- Textbook: None +- Assignments: refer to the course website + +## Personal Resources + +My implementation is lost in system reinstallation. However, the course is so famous that you can easily find related resoures online. Also, course material is available on Coursera. From 4b713d4467440005fd68cf735f496a1650185f63 Mon Sep 17 00:00:00 2001 From: BarbarossaWang <40034814+BarbarossaWang@users.noreply.github.com> Date: Fri, 23 Sep 2022 09:05:53 +0800 Subject: [PATCH 3/3] [TRANSLATION] translate CS142.md (#239) * [TRANSLATION] translate CS142.md * fix description --- docs/Web开发/CS142.en.md | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) create mode 100644 docs/Web开发/CS142.en.md diff --git a/docs/Web开发/CS142.en.md b/docs/Web开发/CS142.en.md new file mode 100644 index 00000000..c4c45428 --- /dev/null +++ b/docs/Web开发/CS142.en.md @@ -0,0 +1,17 @@ +# Stanford CS142: Web Applications + +## Descriptions + +- Offered by: Stanford +- Prerequisites: CS107 and CS108 +- Programming Lanuages: JavaScript/HTML/CSS +- Difficulty: 🌟🌟🌟🌟 +- Class Hour: 100 hours + +This is Stanford's Web Application course covers HTML, CSS, JavaScript, ReactJs, NodeJS, ExpressJS, Web Security, and more. Eight projects will enhance your web development skills in practice. + +## Course Resources + +- Course Website: +- Recordings: +- Assignments: