暖风的风 - 博客园

How do I learn mathematics for machine learning?

摘要： https://www.quora.com/How-do-I-learn-mathematics-for-machine-learning How do I learn mathematics for machine learning? https://www.quora.com/How-do-I- 阅读全文

posted @ 2017-11-07 10:49 暖风的风阅读(1038) 评论(0) 推荐(0)

Machine Learning Books Suggested by Michael I. Jordan from Berkeley

摘要： http://www.statsblogs.com/2014/12/30/machine-learning-books-suggested-by-michael-i-jordan-from-berkeley/ Machine Learning Books Suggested by Michael I 阅读全文

posted @ 2017-11-07 10:33 暖风的风阅读(558) 评论(0) 推荐(0)

机器学习应该准备哪些数学预备知识？

摘要：转 https://www.zhihu.com/question/36324957 https://www.zhihu.com/question/36324957/answer/139408269 机器学习应该准备哪些数学预备知识？数据分析师，工作中经常使用机器学习模型，但是以调库为主。自己一直阅读全文

posted @ 2017-11-07 10:26 暖风的风阅读(1185) 评论(0) 推荐(0)

PCA,SVD

摘要： PCA的数学原理 https://www.zhihu.com/question/34143886/answer/196294308 奇异值分解的揭秘（二）：降维与奇异向量的意义奇异值分解的揭秘（一）：矩阵的奇异值分解过程浅谈张量分解（三）：如何对稀疏矩阵进行奇异值分解？如何直观地理解「协方差矩阅读全文

posted @ 2017-11-02 18:14 暖风的风阅读(562) 评论(0) 推荐(0)

【机器学习Machine Learning】资料大全

摘要：转【机器学习Machine Learning】资料大全昨天总结了深度学习的资料，今天把机器学习的资料也总结一下(友情提示：有些网站需要"****"^_^) 推荐几本好书： 1.Pattern Recognition and Machine Learning (by Hastie, Tibshira 阅读全文

posted @ 2017-10-31 14:27 暖风的风阅读(1065) 评论(0) 推荐(0)

10-free-must-read-books-machine-learning-data-science

摘要： Spring. Rejuvenation. Rebirth. Everything’s blooming. And, of course, people want free ebooks. With that in mind, here's a list of 10 free machine lea 阅读全文

posted @ 2017-10-30 13:59 暖风的风阅读(341) 评论(0) 推荐(0)

Adventures in deep learning

摘要：转：https://github.com/GKalliatakis/Adventures-in-deep-learning Adventures in deep learning State-of-the-art Deep Learning publications, frameworks & re 阅读全文

posted @ 2017-10-30 13:48 暖风的风阅读(285) 评论(0) 推荐(0)

learning-ai-if-you-suck-at-math

摘要： https://hackernoon.com/learning-ai-if-you-suck-at-math-8bdfb4b79037 https://hackernoon.com/tagged/ai-if-you-suck-at-math 阅读全文

posted @ 2017-10-30 11:27 暖风的风阅读(326) 评论(0) 推荐(0)

deep-learning-with-python --the author of keres

摘要： https://www.manning.com/books/deep-learning-with-python 阅读全文

posted @ 2017-10-30 11:22 暖风的风阅读(245) 评论(0) 推荐(0)

贝叶斯机器学习路线图

摘要：转： http://www.cnblogs.com/bayesianML/p/6377588.html#central_problem 这是一份贝叶斯机器学习路线图, 正在不断更新中. 路线图由简短的介绍配以相应的学习资源组成, 读者不一定要按顺序学习, 可以直接定位到自己需要的地方. 很多时候, 阅读全文

posted @ 2017-10-30 10:12 暖风的风阅读(836) 评论(0) 推荐(0)

【深度学习Deep Learning】资料大全

摘要：转：【深度学习Deep Learning】资料大全最近在学深度学习相关的东西，在网上搜集到了一些不错的资料，现在汇总一下： Free Online Books Courses Video and Lectures Papers Tutorials WebSites Datasets Framewo 阅读全文

posted @ 2017-10-27 14:29 暖风的风阅读(1348) 评论(0) 推荐(0)

Why does deep learning work?

摘要： Learning Deep Architectures for AI By Yoshua Bengio http://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf https://deeplearning4j.org/restrictedbol 阅读全文

posted @ 2017-10-25 17:43 暖风的风阅读(773) 评论(2) 推荐(0)

机器学习算法

摘要：机器学习笔记03：Normal equation与梯度下降的比较机器学习笔记02：多元线性回归、梯度下降和Normal equation 阅读全文

posted @ 2017-10-19 18:27 暖风的风阅读(199) 评论(0) 推荐(0)

Deep Reinforcement Learning

摘要： Reinforcement-Learning-Introduction-Adaptive-Computation http://incompleteideas.net/book/bookdraft2017nov5.pdf http://incompleteideas.net/book/ebook/t 阅读全文

posted @ 2017-10-19 14:18 暖风的风阅读(1044) 评论(1) 推荐(0)

regularization

摘要： https://www.zhihu.com/question/20924039 http://52opencourse.com/133/coursera%E5%85%AC%E5%BC%80%E8%AF%BE%E7%AC%94%E8%AE%B0-%E6%96%AF%E5%9D%A6%E7%A6%8F% 阅读全文

posted @ 2017-10-17 16:35 暖风的风阅读(286) 评论(0) 推荐(0)

What-are-prerequisites-for-learning-Artificial-Intelligence

摘要： https://www.quora.com/What-are-prerequisites-for-learning-Artificial-Intelligence 阅读全文

posted @ 2017-10-17 11:39 暖风的风阅读(146) 评论(0) 推荐(0)

How do I learn machine learning?

摘要： https://www.quora.com/How-do-I-learn-machine-learning-1?redirected_qid=6578644 How Can I Learn X? Learning Machine Learning Learning About Computer Sc 阅读全文

posted @ 2017-10-16 15:57 暖风的风阅读(1487) 评论(0) 推荐(0)

What are some good books/papers for learning deep learning?

摘要： What's the most effective way to get started with deep learning? What's the most effective way to get started with deep learning? What's the most effe 阅读全文

posted @ 2017-10-16 15:44 暖风的风阅读(511) 评论(0) 推荐(0)

NLP

摘要： https://www.oreilly.com/learning/perform-sentiment-analysis-with-lstms-using-tensorflow 阅读全文

posted @ 2017-10-16 14:19 暖风的风阅读(259) 评论(0) 推荐(0)

Quantum Computation and Quantum Information

摘要： https://www.amazon.com/Quantum-Computation-Information-10th-Anniversary/dp/1107002176/ref=asap_bc?ie=UTF8 http://www-reynal.ensea.fr/docs/iq/QC10th.pd 阅读全文

posted @ 2017-10-13 17:26 暖风的风阅读(277) 评论(0) 推荐(0)

插入数学公式。

摘要： http://blog.sina.com.cn/s/blog_61f013b80101ccvv.html http://www.forkosh.com/mathtextutorial.html 阅读全文

posted @ 2017-10-13 17:17 暖风的风阅读(279) 评论(0) 推荐(0)

Why-are-GPUs-well-suited-to-deep-learning

摘要： https://www.quora.com/Why-are-GPUs-well-suited-to-deep-learning http://timdettmers.com/2015/03/09/deep-learning-hardware-guide/ http://timdettmers.com 阅读全文

posted @ 2017-10-09 16:39 暖风的风阅读(270) 评论(0) 推荐(0)

why deep learning works

摘要： https://medium.com/towards-data-science/deep-learning-for-object-detection-a-comprehensive-review-73930816d8d9 https://stackoverflow.com/questions/200 阅读全文

posted @ 2017-10-09 00:13 暖风的风阅读(478) 评论(0) 推荐(0)

AI 名校课程&书籍需要学习

摘要：斯坦福李飞飞-深度学习计算机视觉 http://study.163.com/course/introduction/1003223001.htm 斯坦福李飞飞-深度学习计算机视觉视频下载 http://www.jianshu.com/p/182baeb82c71 https://github.co 阅读全文

posted @ 2017-10-07 22:05 暖风的风阅读(317) 评论(0) 推荐(0)

tensorflow

摘要： https://www.tensorflow.org/ https://web.stanford.edu/class/cs20si/syllabus.html instal in windows https://www.tensorflow.org/versions/r0.12/get_starte 阅读全文

posted @ 2017-10-06 17:44 暖风的风阅读(236) 评论(0) 推荐(0)

double pointer pointers array

摘要： https://stackoverflow.com/questions/33746434/double-pointer-vs-array-of-pointersarray-vs-array 阅读全文

posted @ 2017-09-28 16:14 暖风的风阅读(201) 评论(0) 推荐(0)

what-is-a-closure

摘要： https://stackoverflow.com/questions/36636/what-is-a-closure https://www.quora.com/What-are-upvalues-in-Lua http://www.cs.tufts.edu/~nr/cs257/archive/r 阅读全文

posted @ 2017-09-25 15:02 暖风的风阅读(233) 评论(0) 推荐(0)

Redis source code analysis

摘要： http://zhangtielei.com/posts/blog-redis-dict.html http://zhangtielei.com/assets/photos_redis/redis_dict_structure.png https://github.com/antirez/redis 阅读全文

posted @ 2017-09-24 23:44 暖风的风阅读(917) 评论(0) 推荐(0)

AI习惯的数学书籍、计算机经典书籍

摘要： http://download.csdn.net/download/wz619899442/8405297 https://www.amazon.com/Introduction-Automata-Theory-Languages-Computation/dp/0321455363/ref=sr_1 阅读全文

posted @ 2017-09-24 11:23 暖风的风阅读(435) 评论(0) 推荐(0)

Lua官方文档与源码分析

摘要： https://www.lua.org/source/5.3/ http://www.cppblog.com/airtrack/archive/2012/09/19/191233.html https://github.com/lichuang/Lua-Source-Internal/blob/ma 阅读全文

posted @ 2017-09-22 11:21 暖风的风阅读(1090) 评论(0) 推荐(0)

文章查询优化器分析

该文被密码保护。阅读全文

posted @ 2017-09-20 17:39 暖风的风阅读(3) 评论(0) 推荐(0)

MYSQL Range

摘要： http://www.orczhou.com/index.php/2012/12/mysql-source-code-optimizer-range-and-ref/ http://www.orczhou.com/index.php/2012/11/mysql-source-code-range-o 阅读全文

posted @ 2017-09-19 16:09 暖风的风阅读(280) 评论(0) 推荐(0)

微积分线程代数

摘要：向量点乘的 x1x2 + y1y2 与 |a||b|cosθ 是如何联系起来的？ https://www.zhihu.com/question/29039728 数量积 https://zh.wikipedia.org/wiki/%E6%95%B0%E9%87%8F%E7%A7%AF 如何直观形象的阅读全文

posted @ 2017-09-19 10:36 暖风的风阅读(179) 评论(0) 推荐(0)

Safe point

摘要： JVM源码分析之安全点safepoint http://www.jianshu.com/p/c79c5e02ebe6 聊聊JVM（六）理解JVM的safepoint 聊聊JVM（九）理解进入safepoint时如何让Java线程全部阻塞 GC safe-point (or safepoint) an 阅读全文

posted @ 2017-09-15 21:48 暖风的风阅读(527) 评论(0) 推荐(0)

JVM 源码分析

摘要： http://hsmemo.github.io/toc.html https://translate.google.com.hk/translate?act=url&hl=zh-CN&ie=UTF8&prev=_t&sl=auto&tl=zh-CN&u=http://hsmemo.github.io 阅读全文

posted @ 2017-09-14 10:38 暖风的风阅读(197) 评论(0) 推荐(0)

GGGGCCCC

摘要： Evaluating and improving remembered sets in the HotSpot G1 garbage collector http://www.diva-portal.se/smash/get/diva2:754515/FULLTEXT01.pdf http://ww 阅读全文

posted @ 2017-09-10 15:28 暖风的风阅读(597) 评论(0) 推荐(0)

G1 ,CMS

该文被密码保护。阅读全文

posted @ 2017-09-08 18:45 暖风的风阅读(22) 评论(0) 推荐(0)

机器学习(Machine Learning)&深度学习(Deep Learning)资料

摘要：机器学习(Machine Learning)&深度学习(Deep Learning)资料(Chapter 1) 《Brief History of Machine Learning》介绍:这是一篇介绍机器学习历史的文章，介绍很全面，从感知机、神经网络、决策树、SVM、Adaboost到随机森林、D 阅读全文

posted @ 2017-09-07 16:48 暖风的风阅读(2490) 评论(1) 推荐(0)

正则化(Regularization)、过拟合(Overfitting)

摘要： http://blog.csdn.net/artprog/article/details/51278643 阅读全文

posted @ 2017-09-07 16:40 暖风的风阅读(272) 评论(0) 推荐(0)

名校课程

摘要： http://cs231n.github.io/ 阅读全文

posted @ 2017-09-07 00:51 暖风的风阅读(149) 评论(0) 推荐(0)

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