stanford courses

On June 14, 2005, Apple CEO Steve Jobs delivered a prestigious speech at his alma mater at Stanford University, where you will see the recommendations of N-multiplayer (like Mr Lee Kai-fu, who also likes to speak at university). Previously, a Chinese subtitle version of Steve Jobs Stanford University speech video, today in English and Chinese version of the "Steve Jobs" speech, there are many classic statem

In the project, C # is used to annotate the English sentences, and the more mature English pos tagging software is stanford-parser. It's a C # version, and it's done with the IKVM java-c# conversion. The specific configuration steps are as follows:1. Download Stanford-parser jar PackageHttp://nlp.stanford.edu/software/lex-parser.shtml2, download the C # version of the projectHttps://github.com/sergey-tihon/

Here is the steps to enable a custom theme using the manual method described here:Https://github.com/edx/edx-platform/wiki/Stanford-ThemingFirst create the base VM:mkdir fullstackcd fullstackcurl -L https://raw.githubusercontent.com/edx/configuration/master/vagrant/release/fullstack/Vagrantfile > Vagrantfilevagrant plugin install vagrant-hostsupdaterexport OPENEDX_RELEASE="named-release/birch"vagrant upThis might take awhile as the virtual box is down

Because the older version of Stanford parser is used in Twitter NLP, it cannot be used simultaneouslyThe workaround is to use Twitter NLP, which is not integrated with other jar packages, which is also explained in this Stanford FAQ (in FAQ17), and gives a list of which jar packages are used in Twitter NLPMost of the jar packages can be downloaded toBut some are not used for version reasons like Twitter-tex

http://52opencourse.com/111/Stanford University--language model (language-modeling)--Class IV of natural language processingI. Introduction of the CourseStanford University launched an online natural language processing course in Coursera in March 2012, taught by the NLP field Daniel Dan Jurafsky and Chirs Manning:https://class.coursera.org/nlp/The following is the course of the study notes, to the main course ppt/pdf, supplemented by other reference

1. IntroductionStanford participle currently supports Arabic and Chinese. Its principle is based on crfs, crfs participle principle is not difficult to understand, that is, the word segmentation as another form of named entity recognition, the use of features to establish a probability map model, with the VETERBI algorithm to find the shortest path. Stanford NLP provides the source demo, the current version is 3.5.2. : http://nlp.stanford.edu/softwar

Tag:iosswift Stanford Open Class tableviewdelegate The previous remark introduced TableView's DataSource, which introduces another important part of delegate.When we click on a cell, how do we jump to another MVC?Like adding other segue, click the cell Control key, right-connect to another MVC, then let go, select the desired segue type.If you have other buttons on your cell, such as detail disclosure, you can also select its segue:Then set your segu

First of all, I would like to thank NetEase Open Class and Swiftv class friends of the hard translation, this series is my study of Stanford IOS8 Open class personal experience and notes, hoping to bring inspiration to everyone.First we need to know the structure of the iOS system, from the close to the bottom of the hardware to close to the user's top level, divided into four levels:1.Core OS layer on the lowest level, many people may not know that i

I haven't written any notes for a long time. This 20 days is very busy Ah, the project to publish, there is not much time to see iOS.The Stanford tutorial has been finished, but it feels awkward. In fact, when looking at the code, feel no demo is nothing, but look at the demo to see the specious look do not understand. In the video, the professor with every API is handy, but to write their own, after class look at the code, it is not so. What are the

Personal Summary: 1, this article is mainly proof of the main things, so the mathematical formula is relatively more, the original note author omitted some things, no and the above is very good cohesion, so beginners do not necessarily see clearly, the proposed combination of Stanford machine learning the original handout (English, did not find the full text of the Chinese translation version) to see, If the derivation of the formula is confusing, it

of epsilon items! If the epsilon value is too low, the data after the whitening will appear to be noisy; Conversely, if the epsilon value is too high, the albino data will be too blurry compared to the original data.Epsilon method of selection:A. Draw the eigenvalues of the data graphically; b. Select a characteristic value that is larger than most of the noise in the data to reflect the epsilon .2. How to adjust the epsilon specifically? I don't know, if I had a exercise, I'd be fine.2. When p

This is the essay of Mehran Sahami, professor of Open Class: Programming Methodology at Stanford University, which is open to NetEase.Currently only see the third class, "Karel and Java", my harvest has the following points:1. Software engineering is different from normal writing code. Software should consider a lot of things, such as portability, easy to upgrade maintenance, and so on, not just write code to implement the function as simple.2. The co

It is decided that machine learning is under system learning, and Stanford courseware is the main line. Notes1 is part of the http://www.stanford.edu/class/cs229/notes/cs229-notes1.pdf about Regression 1. Linear Regression For example, if the House Price is predicted and the data cannot be found on the Internet, use five data points for the experiment. House.txt, 5 data records, number of bedrooms, Price. Area bedrooms price2104 3 4001600 3 330

CNET Technology Information Network January 16 International report Stanford University researchers have a major discovery, laptop battery charging once can run for a day or longer. Researchers have discovered a way to increase the battery of lithium-ion battery storage by 10 times, possibly extending the battery life of a laptop from the current 4 hours to 40 hours. The new battery was developed by Yi Cui, a TA, and colleagues from the Department

NPL STANFORD-4.NPL with DL @ (NPL) [Read Notes] NPL STANFORD-4NPL with DL starting from a neuron feedforward computation of single layer neural network Maximum Margin objective Function Reverse propagation backpropagation 1. Start with a neuron A neuron is the most basic component of a neural network that receives n inputs and produces a single output. The different neurons have different parameters (or we

Stanford cs231n 2017 newest Course: Li Feifei Detailed framework realization and comparison of depth learning by Zhuzhibosmith June 19, 2017 13:37 Stanford University Course cs231n (convolutional Neural Networks for visual recognition) is widely admired in academia as an important foundation course in depth learning and computer vision. This April, cs231n again, the new cs231n Spring 2017 is still led by Li

Dance is an art, art can enhance people's aesthetic consciousness. The opening of dance elective courses in higher vocational colleges can effectively improve students ' aesthetic ability, shape good body shape, promote the development of students ' comprehensive ability, help students to know the world correctly, understand the world and form good values of life.1 Analysis of teaching dilemma of dance elective course in higher vocational colleges(1)

2011 Winter Stanford University Open course iOS App development Tutorial is a very classic tutorial, the old man is very good at speaking. Take notes to summarize.First lesson name: MVC and Introduction to objective-c the main contents of this lesson are:Overview of iOS-what is iOSMVC-Object-oriented conceptsobjective-c-Introduction to the concept of languageiOS includes four layers of coresThe kernel is the Mach 4.x BSD Unix kernel Mac OS 10 operatin

Stanford recommended Reading directory Stanford Deep Learning Web site recommended reading directory: UFLDL Recommended ReadingsIf you ' re learning about UFLDL (unsupervised Feature learning and deep learning), this is a list of the papers to consider Rea Ding. We ' re assuming you ' re already familiar and basic machine learning at the level of [CS229 (lecture notes available)].The Basics: [cs294

See the lesson in the content is to use GET request to crawl the course, their own practice when the discovery has been changed to post request, the following startOpen Course PageI use the Firefox, then is F12, click on the network, there may be many packages, but do not affect, click Delete on the line, and then click on the second page, other pages can also be seen, there is a total of 17 pagesThen there will be a lot of packages, find the following, click to viewClick to see the message head