Bruce Lee random walk

[Forums.xkcd.com] Random Matrix Theory

Moderators: Zamfir, Hawknc, Moderators General, Prelates SUPPOSE we had a theory that could explain everything. Not just atoms and quarks but aspects of our everyday lives too. Sound impossible? Perhaps not.1 假设我们有一个可以解释一切的理论。不仅是原子和夸克,而且是我们日常生活的方方面面。听起来不可能?也许不是。 Spoiler: It’s all part of the recent explosion of work in an area of physics know... Read more

Test

1 Baidu 选择题:单选、多选 选择题考查的范围非常广泛,包括C++、Java语法、算法、数据结构、网络知识、数据库、MapReduce、机器学习、深度学习等。但是都不是太深。 简答题 采样算法在机器学习的重要性 过采样 欠采样 MCMC 接受-拒绝采样 重要性采样 Metropolis-Hasting采样 Gibbs采样 设计题 深度学习在NLP的应用 编程题 下面的程序在Python3.5环境下测试通过(百度笔试采用的赛码平台依然采用Python2.7) 素数相关的问题 # 素数检验 def is_prime(n): if n < 2: return False for i in range(2,... Read more

[SIAM NEWS] Super-resolution and Compressed Sensing

By Carlos Fernandez-Granda October 01, 2013 [Carlos Fernandez-Granda is a Ph.D. student in the Department of Electrical Engineering at Stanford University.] It has long been known that a lens, however perfect, has limited resolving power. 人们早就知道,不管镜头多么完美,分辨率都很有限。 As Lord Rayleigh pointed out in his seminal 1891 paper “On Pin-hole Photograph... Read more

[SIAM NEWS] From Global to Local: Getting More from Compressed Sensing

By Alexander Bastounis, Ben Adcock, and Anders C. Hansen October 02, 2017 [Alexander Bastounis is a final-year Ph.D. student in the Applied Functional and Harmonic Analysis group in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge. His research interests include compressed sensing, optimisation theor... Read more

【深度学习】读书笔记

本文记录了Ian Goodfellow et al. 深度学习一书的读书心得和读后感。 数学基础 机器学习 正则化 优化 CNN RNN 研究 Deep Learning course Read more