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Coursera Machine Learning second week programming job Linear Regression

use of MATLAB. *.4.gradientdescent.mfunction [Theta, j_history] =gradientdescent (X, y, theta, Alpha, num_iters)%gradientdescent performs gradient descent to learn theta% theta = gradientdescent (X, y, theta, Alpha, num_iters) up Dates theta by% taking num_iters gradient steps with learning rate alpha% Initialize Some useful valuesm= Length (y);%Number of training examplesj_history= Zeros (Num_iters,1); forITER =1: Num_iters% ====================== YOUR CODE here ======================% instru

Coursera-machine Learning, Stanford:week 11

Overview photo OCR problem Description and Pipeline sliding Windows getting Lots of data and Artificial data ceiling analysis:what part of the Pipeline to work on Next Review Lecture Slides Quiz:Application:Photo OCR Conclusion Summary and Thank You Log 4/20/2017:1.1, 1.2; Note Ocr? ... Coursera-machine Learning, Stanford:w

The sum of the edge elements of the matrix in Coursera C language Advanced exercise calculation

I've been procrastinating for the last time, and I'm going to keep it up today. Programming Title #: Calculating the sum of the edge elements of a matrix Source: POJ (Coursera statement: The exercises completed on POJ will not be counted into Coursera's final results. ) Note: Total time limit: 1000ms memory limit: 65536kB description Enter an integer matrix to compute the sum of elements at the edge of the matrix. The elements of the so-called matrix

UIUC University Coursera Course text retrieval and Search Engines:week 3 Quiz_uiuc University

Week 3 Quizhelp Center Warning:the hard deadline has passed. You can attempt it, but and you won't be. You are are welcome to try it as a learning exercise. In accordance with the Coursera Honor Code, I certify this answers here are I own work. Question 1 Assume you are using a Unigram language model to calculate the probabilities of phrases. Then, the probabilities of generating the phrases "study text mining" and "text mining study" are not equal, i

UIUC University Coursera Course text retrieval and Search Engines:week 3 Practice University

Week 3 Practice quizhelp Center Warning:the hard deadline has passed. You can attempt it, but and you won't be. You are are welcome to try it as a learning exercise. In accordance with the Coursera Honor Code, I certify this answers here are I own work. Question 1 are given a vocabulary composed of only three words: "text", "mining", and "the". Below are the probabilities of two of this three words given by a Unigram model: Word Probability Text 0.4 M

Does your little frog really belong to you? | Cloud Fish co-founder Zhenghuajiang: block chain technology will redefine the "game asset" attribution problem

2018 the beginning of the new year, but the block chain this huge stone has undoubtedly been thrown into the internet, and stirred up layers of ripples, causing the people to pay attention to, everyone stared at the block chain, and swing ripples also fluctuate to major industries and personal interests. The stock prices of listed companies on the block chain soared, and even some changed the company name to "block chain company", in order to raise the stock price, want to take the opportunity b

Coursera Machine Learning second week quiz answer Octave/matlab Tutorial

would the Vectorize this code to run without all for loops? Check all the Apply. A: v = A * x; B: v = Ax; C: V =x ' * A; D: v = SUM (A * x); Answer: A. v = a * x; v = ax:undefined function or variable ' Ax '. 4.Say you has a vectors v and Wwith 7 elements (i.e., they has dimensions 7x1). Consider the following code: z = 0; For i = 1:7 Z = z + V (i) * W (i) End Which of the following vectorizations correctly compute Z? Check all the Apply.

Coursera Machine learning:regression Evaluation Performance

(w ')Description W over fitting3 Sources of errorNoise, Bias, Variance1. Noise NoiseOf an inherent, irreducible, or reduced nature.   2, Bias Deviation      The simpler the model, the greater the deviation  The more complex the model, the smaller the deviation3. Variance Variance    Simple model, small variance  Complex model, large variance  Deviations and variance tradeoffs, deviations and variances cannot be calculated    Training error and the amount of test data, fixed model complexity, a

Coursera Machine Learning Study notes (12)

-Normal equationSo far, the gradient descent algorithm has been used in linear regression problems, but for some linear regression problems, the normal equation method is a better solution.The normal equation is solved by solving the following equations to find the parameters that make the cost function least:Assuming our training set feature matrix is x, our training set results are vector y, then the normal equation is used to solve the vector:The following table shows the data as an example:T

UIUC University Coursera Course text retrieval and Search Engines:week 4 Quiz_uiuc University

Week 4 Quizhelp Center Warning:the hard deadline has passed. You can attempt it, Butyou won't get credit for it. You are are welcome to try it as a learning exercise. In accordance with the Coursera Honor Code, I certify This answers here are I own work. Question 1 Which of the following is nottrue about GFS? The GFS keeps multiple replicas of the same file chunk. The file data transfer happens directly between the GFS client and the GFS chunkservers

UIUC University Coursera Course text retrieval and Search Engines:week 2 Quiz_uiuc University

Week 2 Quizhelp Center Warning:the hard deadline has passed. You can attempt it, but and you won't be. You are are welcome to try it as a learning exercise. In accordance with the Coursera Honor Code, I certify this answers here are I own work. Question 1 Suppose a query has a total of 4 relevant documents in the collection. System A and System B have each retrieved, and the relevance status of the ranked lists is shown below: System A: [-----------]

Founder Vision: Enterprise website construction seo three "golden rule"

before writing a "founder Vision: How to make effective Web site communication" For everyone to talk about what to do when talking about the site. The website talks down, must make, then the Enterprise website construction SEO work must plan beforehand, otherwise once discovers the problem again to make the change, will increase the cost. Once a friend has made a website, the site has been done for half a year, the keywords are beginning to have a ran

Start-up company PlayCafe Close founder summarizes 10 major failure lessons

Guide: PlayCafe, founder of the Internet video game website, Mark Goldenson (Mark Goldenson) has written a summary of ten lessons of his own entrepreneurial failure. The following is the main content of the article:1.5 ago, I founded the Internet video game website PlayCafe with co-founder David Naigue (Dev Nag), and we are ambitious to run a game show that is engaging and interactive. Players can watch our

How grassroots webmaster Upgrade interview Dedecms founder it Plato

Members of the network friendly, we interviewed today is the founder of the famous Dedecms it Plato, in recent years, the Dream of the CMS (DEDECMS) in China has become one of the most popular PHP CMS, and its founder it Plato is almost a well-known legend, 2002 graduated from Guangdong Maoming Institute of Chemical Department of his, from a layman to do almost the industry can not reach the height, this ha

The founder of playcafe, a startup company, summarized 10 major failure lessons

Introduction: Mark goldenson, the founder of Internet TV game website playcafe, recently wrote an article about ten lessons of his entrepreneurial failure. The main content of this article is as follows: A year and a half ago, I joined our co-founder, DevNag) founded the Internet TV game website playcafe. We are ambitious to run a game show with a high degree of interaction. Players can watch our programs,

"SD2.0 Convention" Cool founder Thunder: Four elements of personal growth of programmers

China's largest IT technology community CSDN United States authoritative IT technology Media CMP Group, together for China's millions of developers to bring the most authoritative top software technology conference----"2007 Software Development 2.0 Technical Conference" (SD2C) in the nine Huashan village continued. Cool company founder, MBA from Stanford University in the United States and thunder of computer Master's degree from Peking University in

An interview with founder Gao Dayong of the Flash guest Empire

achievements and founder of the Prodigal Son is inseparable, has been "computer newspaper" as "1998 of China's top ten netizens" one (Ding Lei, Charles Zhang was also the list) prodigal Son, is currently the deputy general manager of the interactive company, from personal website to the company operation, He insisted that take the commercial road to have a future, today we invited the Flash Guest Imperial webmaster (border town Prodigal son) Mr. Gao

Bigfoot SEO Hundred Station line Fourth station: Cool easy search and founder pan June

Preface: Bigfoot SEO Hundred station line is SEO practitioner Bigfoot launched the grassroots and the elite face-to-face interview activities, this activity is designed to visit the interview, Mining SEO practitioners and entrepreneurs behind the wonderful story, show the SEO industry practitioners of the current life and practice status.   Visit object: Pan June    Bigfoot and Pan June in the company (his iconic thumb)    A corner of Pan June Office People profile:

MySQL Founder: Write code better than playing games, programmers should soak up the open source community

MySQL team, using the same official language: "Crappy English". Many of the enthusiastic open source followers of MySQL followed Monty to Mariadb. MARIADB is more developer-oriented, allowing outsiders to patch things like this, and in many Linux distributions it's the default database.Monty's commitment to open source and developers is firm--openocean originally Monty with his own in MySQL, the mission is to devote to the developer-driven, technical depth of the product. He is still hosting th

Founder of MySQL: Return to open source under Sun's Guidance

Nearly half a year after Sun's acquisition, what impact does Sun have on the open-source world? The founder of MySQL stood up to answer questions. When Sun acquired MySQL, an open-source database vendor, for $1 billion at the beginning of this year, the entire MySQL Community was waiting to see how the new owners would affect their communities. At this year's OReilly open source event (OSCON), MySQLA Nearly half a year after Sun's acquisition, what im

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