UIUC CS 440 / ECE 448 Artificial Intelligence. Contribute to nqyy/cs440 development by creating an account on GitHub.
CS 446 - Machine Learning, Fall 2016, UIUC undergraduate machine learning at UBC 2012, Nando de Freitas CS 229 - Machine Learning - Stanford University (Autumn 2018) CS 189/289A Introduction to Machine Learning, Prof Jonathan Shewchuk - UCBerkeley CPSC 340: Machine Learning and Data Mining (...
UIUC CS 的课程方向非常多,包含system and networking, AI, database, programming language, ... 一个general 的建议是选择400 level的课,因为一般包含一些可以写在简历上的项目,而不是500level 科研和论文。具体的每节课难度如何,workload 如何可以在UIUC的群里问下上过课的学长学姐~ Q:有转专业同学被录取的...
Upenn比UIUC多很多，虽然paper数量只能说明这个学校在做这个方向的火热程度，并不是很能说明是质量。如果...
UIUC STAT 437 Unsupervised Learning spring 2024, by Tori Ellison Johns Hopkins Unsupervised Learning spring 2017, by Rene Vidal University of Wisconsin-Madison CS/ECE 561 - Probability and Information Theory in Machine Learning fall 2020, by Matthew Malley University of Maryland CMSC828U Algorithms ...
在UIUC所有CS的课没有workload小的（当然有公认相对比较水的比如CS410和CS465，公认比较恐怖的比如CS412...
3. 人工智能(CS 440) 我个人认为这是UIUC 400 level的CS课里难度非常大,学习非常痛苦的一门(反正我是如此,每周至少devote30小时在这门课上,有时候会更长。大神请忽略)。其他的类似CS 446机器学习,CS 473算法,CS 461 信息安全恐怕都是比较难的课程。传统意义上就很麻烦的比如组成原理,编译原理当然也算。
15-440Distributed Systems 15-721Database SystemsVideo 15-445/645Database SystemsVideo 15-451/651Algorithms 15-749Engineering Distributed Systems 10-601Machine LearningVideo 10-708Probabilistic Graphical ModelsVideo 11-785Deep Learning CMU 462Computer Graphics ...
3、数据挖掘 UIUCCoursera - Specializations 4、人工智能 UC BerkeleyX CS188.1x人工智能-学堂在线慕课(MOOC)平台第四部分、程序设计和软件工程 1、编译器Coursera2、Object Oriented Analysis and Design(没找到mooc和书籍) 3、操作系统操作系统-学堂在线慕课(MOOC)平台 或者Coursera4、软件工程 TsinghuaX 34100325X软...
UIUC STAT 437 Unsupervised Learning spring 2024, by Tori Ellison University of Wisconsin-Madison CS/ECE 561 - Probability and Information Theory in Machine Learning fall 2020, by Matthew Malley Computer Networks CS 144 Introduction to Computer Networking - Stanford University, Fall 2013 (Lecture videos...