This post summarizes common algorithms and data structures used in tech company interviews. Image from here

I took the EE380L Real-time OS in spring 20. I have to say Prof. Andreas is one of the best ‘teachers’ I’ve met in UT ECE. Operating Systems Three Easy Pieces is a recommended reading from Prof. Andreas and is also a well-known textbook. So I decide to read it and take some notes here. Cover image credit.

This post summarizes the key concepts of Dockers and related tools. Photo by Max Williams on Unsplash.

This post is a note of computer network key points and useful tools and is organized according to the TCP/IP model.

A summary of git data model and commonly used commands.

This post is a summary of common parallel algorithms and the implementation of common parallel data structures. The resource comes from the UT EE361C course I took this semester.

这个关于ML的系列中，我想总结下一些基础和经典的算法，包括理论，实现，以及面试点。这个系列主要参考的文献是[1,2,3]。

做为这个系列的第一篇，我们会讨论PAC Learning。它确定了理论体系，为之后的算法讨论奠定了基础。

剑指offer刷题的记录与总结

今天来总结下硬间隔支持向量机 (Support Vector Machine)，由于支持向量机中的对偶问题包含大量的推导，完全用公式码出来太浪费时间，所以我就以总结写提纲的方式来写本文。