Advice for students of machine learning--转
原文地址:http://www.mimno.org/articles/ml-learn/
written by david mimno
One of my students recently asked me for advice on learning ML. Here’s what I wrote. It’s biased toward my own experience, but should generalize.
My current favorite introduction is Kevin Murphy’s book (Machine Learning). You might also want to look at books by Chris Bishop (Pattern Recognition), Daphne Koller (Probabilistic Graphical Models), and David MacKay (Information Theory, Inference and Learning Algorithms).
Anything you can learn about linear algebra and probability/statistics will be useful. Strang’s Introduction to Linear Algebra, Gelman, Carlin, Stern and Rubin’s Bayesian Data Analysis, and Gelman and Hill’s Data Analysis using Regression and Multilevel/Hierarchical models are some of my favorite books.
Don’t expect to get anything the first time. Read descriptions of the same thing from several different sources.
There’s nothing like trying something yourself. Pick a model and implement it. Work through open source implementations and compare. Are there computational or mathematical tricks that make things work?
Read a lot of papers. When I was a grad student, I had a 20 minute bus ride in the morning and the evening. I always tried to have an interesting paper in my bag. The bus isn’t the important part — what was useful was having about half an hour every day devoted to reading.
Pick a paper you like and “live inside it” for a week. Think about it all the time. Memorize the form of each equation. Take long walks and try to figure out how each variable affects the output, and how different variables interact. Think about how you get from Eq. 6 to Eq. 7 — authors often gloss over algebraic details. Fill them in.
Be patient and persistent. Remember von Neumann: “in mathematics you don’t understand things, you just get used to them.”
Advice for students of machine learning--转的更多相关文章
- 【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"科学上网"^_^) 推荐几本好书: 1.Pattern Recognition and Machi ...
- 机器学习(Machine Learning)&深度学习(Deep Learning)资料
<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 ...
- 机器学习(Machine Learning)&深入学习(Deep Learning)资料
<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. ...
- 机器学习(Machine Learning)&深度学习(Deep Learning)资料【转】
转自:机器学习(Machine Learning)&深度学习(Deep Learning)资料 <Brief History of Machine Learning> 介绍:这是一 ...
- 机器学习(Machine Learning)&深度学习(Deep Learning)资料汇总 (上)
转载:http://dataunion.org/8463.html?utm_source=tuicool&utm_medium=referral <Brief History of Ma ...
- 机器学习(Machine Learning)&深度学习(Deep Learning)资料
机器学习(Machine Learning)&深度学习(Deep Learning)资料 機器學習.深度學習方面不錯的資料,轉載. 原作:https://github.com/ty4z2008 ...
- 机器学习(Machine Learning)与深度学习(Deep Learning)资料汇总
<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 ...
- How do I learn machine learning?
https://www.quora.com/How-do-I-learn-machine-learning-1?redirected_qid=6578644 How Can I Learn X? ...
- ADVICE FOR SHORT-TERM MACHINE LEARNING RESEARCH PROJECTS(短期机器学习研究的建议)
– Tim Rocktäschel, Jakob Foerster and Greg Farquhar, 29/08/2018 Every year we get contacted by stude ...
随机推荐
- [XAF] How to improve the application's performance
[自己的解决方案]数据量大时,可显著提升用户使用体验! 1.Root ListView 参考官方的E1554 点击导航菜单后首先跳出查询条件设置窗体进行设置 可设置查询方案或查询方案的查询条件,排序字 ...
- MVVM框架中的一个非常重要的内容:数据双向绑定
双向绑定的意思就是,如下图中,当在input框中输入字符时,红色框框中的字也会随之改变. input框中需要一个绑定:ms-duplex(即“双工绑定”),http://avalonjs.github ...
- spark on centos6.5 安装
第一步在centos 6.5上安装java 运行环境 http://www.oracle.com/technetwork/java/javase/downloads/jdk7-downloads-18 ...
- [转载]并发编程之Operation Queue和GCD
并发编程之Operation Queue http://www.cocoachina.com/applenews/devnews/2013/1210/7506.html 随着移动设备的更新换代,移动设 ...
- 移动app框架inoic功能研究
原生移动app框架inoic功能研究 本篇只侧重框架提供的功能和能力的研究,请关注后续实际部署使用体验. 一.inoic是什么? inoic是一个可以使用Web技术以hybird方式开发移动app的前 ...
- 图解:Arcgis Server 安装
必须保证IIS配置正常,否则arcserver安装不会成功. 选择安装路径,还是尽量不要在有括号的文件夹下. 设置服务名,最好使用默认的. 点击完成后会要求进行服务配置. 在windows serve ...
- 淘宝UWP桌面版公测-谁需要邀请码?
今天taobaoUWP桌面版上线beta测试了.哪位朋友需要邀请码的,请与我联系. 前提是,您的PC已经升级到Windows 10 10586版本了,否则无法使用. 邀请码数量有限,一人一枚,共20枚 ...
- Entity Framework 5.0系列之自动生成Code First代码
在前面的文章中我们提到Entity Framework的"Code First"模式也同样可以基于现有数据库进行开发.今天就让我们一起看一下使用Entity Framework P ...
- 【面试必备】javascript操作DOM元素
前言 时间过的真快,不知不觉就到年底了.问问自己,这一年你对自己的工作满意吗? 评价标准是什么呢?当然是马云的那两条准则了:钱给到了吗?干的爽吗?如果答案都是no,那么,你准备好跳槽了吗? 为了应对年 ...
- Windows内存小结
以前写过一篇理解程序内存, 当时主要是针对用户态,下面再稍微深入一点: 我们以32位程序为例(不启用AWE), 总共4G虚拟空间,其中低2G属于用户态, 高2G属于操作系统内核, 每个程序都有自己的低 ...