名校机器学习相关课程(二)
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名校机器学习相关课程
https://mp.weixin.qq.com/s/pMOePInkrfx6o6PNJKlhZA
深度学习如何用于计算机图形学?这一份八个主题700页PPT《图形深度学习》为你讲解
https://mp.weixin.qq.com/s/_wLhjznuzHb2ENYmK6_I1g
这一份217页斯坦福大学统计学习理论笔记,Percy Liang带你搞清楚难懂的理论基础
https://seeing-theory.brown.edu/
一本好玩的可视化统计概率入门书
https://inst.eecs.berkeley.edu/~cs188/fa18/
UCB CS188: Introduction to Artificial Intelligence
https://sites.google.com/view/berkeley-cs294-158-sp19/home
UCB CS294-158: Deep Unsupervised Learning
https://github.com/mbinary/USTC-CS-Courses-Resource
中国科学技术大学计算机学院课程资源
https://mp.weixin.qq.com/s/iQpERylxzfQ0P51AQBj8bA
概率论导论-哈佛和斯坦福大学合著630页新书
https://people.csail.mit.edu/madry/6.883/
6.883 Science of Deep Learning: Bridging Theory and Practice
http://web.stanford.edu/class/cs246/
CS246: Mining Massive Data Sets
https://mp.weixin.qq.com/s/P7szDhvn5QNRKc7Iuq3Q6g
UAI 2019教程《深度学习数学基础》
https://mp.weixin.qq.com/s/By6xBnUgCKkK3b7pU7E1mA
宾夕法尼亚大学:面向计算机视觉、机器人和机器学习的线性代数 - 附749页书籍PDF
https://mp.weixin.qq.com/s/i79W79Z3ujRnHRBl81kvvA
最新版《机器学习数学基础》发布,417页PDF免费下载
https://mp.weixin.qq.com/s/HBUI9-jMa3otnB-Qq_eg5A
悉尼科大徐亦达教授:机器学习讲义,32份主题推介
https://mp.weixin.qq.com/s/KCFJdk8fZ1rmRI9bZSQykQ
微软研究院新版书籍《数据科学基础》,附479页PDF下载
https://mp.weixin.qq.com/s/R2u3czcEjrRelgJrr_smmw
520页机器学习笔记!图文并茂可能更适合你
https://mp.weixin.qq.com/s/C_dcGAdsWuUjnvhRS5t-Xw
机器学习数学全书,1900页PDF下载
https://nlp.cs.princeton.edu/cos484/
COS 484: Natural Langauge Processing(陈丹琦主讲)
https://github.com/glouppe/info8006-introduction-to-ai
INFO8006 - Introduction to Artificial Intelligence
https://wiki.illinois.edu//wiki/display/cs512
CS 512: Data Mining: Principles and Algorithms
https://mp.weixin.qq.com/s/e2yroJ8-PXMH5dcIr4KP9w
700页《图形深度学习》教程
https://www.eecs189.org/
CS 189: Introduction to Machine Learning
https://stanford-cs221.github.io/
CS221: Artificial Intelligence: Principles and Techniques
https://mp.weixin.qq.com/s/nEZtDywzLBC0dHHBt5PyAg
深度学习视觉系统,Deep Learning for Vision Systems, 396页pdf
https://missing.csail.mit.edu/
The Missing Semester of Your CS Education
https://engineering.purdue.edu/ChanGroup/ECE595/index.html
ECE 595: Machine Learning
https://github.com/glouppe/info8010-deep-learning
Gilles Louppe: Deep Learning
http://www.stat.cmu.edu/~ryantibs/statcomp/
Statistics 36-350: Statistical Computing
https://cseweb.ucsd.edu/~mkchandraker/teaching.html
UCSD的Manmohan Chandraker的CV课程
https://mp.weixin.qq.com/s/E-1Anh9aEz9v7WiFu0mPpQ
机器学习信号处理,100页ppt
https://www.mit.edu/~amidi/teaching/data-science-tools/
Data science tools
https://mp.weixin.qq.com/s/VW6wcA5uUYTM4vnkteL7ng
决策算法,464页pdf,Algorithms for Decision Making
https://zhuanlan.zhihu.com/p/125128368
自动控制原理
https://mp.weixin.qq.com/s/GhdVntXzMTLIFGJjpJvDMg
《概率统计及其在计算中的应用》书册,384页pdf
https://mp.weixin.qq.com/s/P6BCFLDtzEkPluWIKMD2AA
最新《几何深度学习》教程,100页ppt,Geometric Deep Learning
https://fullstackdeeplearning.com/spring2021/
Full Stack Deep Learning
https://github.com/michiganrobotics/rob501
Robotics 501: Mathematics for Robotics
English
SOTA(state of the art):目前最高水平
w.r.t.: 关于
Curriculum Vitae:拉丁语。原意指生活道路,现引申为简历,多指学术履历,缩写是CV。
et al.:等等
etc.:等等
Vote:投票
Veto:否决票
TL;DR:可以是 Too long; Didn’t read(太长,所以没有看)。也可以是 Too long; Don’t read (太长,请不要看),常作为一篇很长的文章的摘要标题。
PoC(Proof of Concept),即概念验证。
FYI:for your information
IFF:if and only if
eta:estimated time of arrival
w/o:without
N.B.:nota bene 注意,留心
Ad-hoc:for this purpose only
Bill is short for William
Bob is short for Robert
Dick is short for Richard
To be, or not to be, that is a question.
—Hamlet, Shakespeare
生存还是毁灭
POTUS: President of the United States
FLOTUS: First Lady of the United States
lifetime achievement:终身成就奖
https://mp.weixin.qq.com/s/8J-uDw0qwDbj21UkQch2KA
跨平台Canvas绘图引擎背后的黑科技
https://mp.weixin.qq.com/s/94IGjVPXZ0FeCILQN33eBQ
遇见大数据可视化:不要错过这么漂亮的数据可视化案例!
https://mp.weixin.qq.com/s/torRtPSVRnULRTbv4dB1sA
大规模地理数据可视化入门:Deck.gl和H3
https://mp.weixin.qq.com/s/UwPCDA89GH5X-HubeJddnQ
怎么画高大上的神经网络结构?试试这个!
https://mp.weixin.qq.com/s/paIumcvQOsACntKM8YwcbA
12个神经网络结构可视化工具
https://mp.weixin.qq.com/s/MMzvZA55Xb2sOA7rJiXiEw
那些酷炫的深度学习网络图怎么画出来的?
https://mp.weixin.qq.com/s/CqvranTh9dawJW5DP-oHpw
手把手教你将矩阵画成张量网络图
https://mp.weixin.qq.com/s/SWpgNMDIRfRugWBhMyGrTQ
交互式《几何原本》再现江湖
https://visualgo.net/zh
一个数据结构和算法的可视化网站
https://mp.weixin.qq.com/s/ZuzmCHoo4i8e5TjZUOTPGg
17种经典图表总结,轻松玩转数据可视化!
https://mp.weixin.qq.com/s/zDXEOHnmmFYYDuWU1ORzFQ
Python中的时间序列数据可视化的完整指南
https://mp.weixin.qq.com/s/mGgOhuF5PVWzB5cie_ox0A
Github上10个开源免费的后台控制面板你值得拥有!
https://mp.weixin.qq.com/s/BpruKFMyL37MDXvzkMxnzQ
技术人最不该忽视可视化数据分析
https://mp.weixin.qq.com/s/mnKLpa_uPzoMrh7E7mtupg
别动不动就画折线图了,教你4种酷炫可视化方法
https://mp.weixin.qq.com/s/jLBI1bEp0wDOqZo9zDsbDw
全面!手把手教你决策树可视化
https://mp.weixin.qq.com/s/2uP5i7eFWgYRA7mt_rR39g
深度学习模型图难画论文难中?这个ML Visual利器帮你快速画出漂亮的模型图
https://mp.weixin.qq.com/s/Y8PW3mKbUKgGPdxerqVNKA
数学表达式一键变图,CMU开发实用工具Penrose,堪称图解界LaTeX
https://mp.weixin.qq.com/s/EPstYM7u3O6mAWf3J5Lmkg
无代码工具的自动化概念概述
https://mp.weixin.qq.com/s/0BBvsqLFP1qRvO3TUaS8Tw
10个流行的可视化面板
https://mp.weixin.qq.com/s/VqHN-cIdNa8l1lKlu4AD4w
24种可视化图表优缺点对比
https://mp.weixin.qq.com/s/4nIKkAPDrYaTE1sGtbCO9A
不使用直方图的6个原因以及应该使用哪个图替代
https://mp.weixin.qq.com/s/72wcShrcjuI0ne1zo8jzIQ
这次气死的不只是设计师,一定要给你点颜色瞧瞧
https://mp.weixin.qq.com/s/58Y-6CUYDVOp8y_jT4BmSw
31个有点意思数据可视化作品
https://mp.weixin.qq.com/s/RGAU6TzlhYTqKAGop_Hd1A
最受欢迎的50个数据可视化图表
https://blog.csdn.net/zhangdaiscott/article/details/109057686
推荐四款可视化工具,解决99%的可视化大屏需求
https://www.zhihu.com/question/35364898/answer/2073242054
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