coursera accreditation

. Looking forward to its update ~ Very recommended Droid-blog Droid-blog.net offers about 27,000 impressions to a highly targeted audience of Android developers looking for ways to Mon Etize their applications. There is only one ad space on the top right in the whole blog which guarantees maximum attention for your ad. -See more at:http://droid-blog.net/become-a-sponsor/#sthash. Rodmfob9.dpuf coursera.org

, suitable for their own books to see; The Busy coder ' s Guide to Android DevelopmentThis is Daniel Commonsguy open source of a book, it is updated very timely, basically follow the SDK update, download PDF can be downloaded here (Four-to-free Guarantee), the source code in the book can be on GitHub (commonsguy/ Cw-omnibus) in the view; Best Android Books and Resources 2014This article mainly introduces the Android books and development resources; Open Class How to De

Daniel Commonsguy open source of a book, it is updated very timely, basically follow the SDK update, download PDF can be downloaded here (Four-to-free Guarantee), the source code in the book can be on Github (commonsguy/ Cw-omnibus) in the view; Best Android Books and Resources 2014This article mainly introduces the Android books and development resources; 　　Open Class How to Develop Android Apps Online course-udacity Programming Mobile applications for Android (

: Introduction to Algorithms| ---- Network Disk address: http://yun.baidu.com/s/1mg5f5xQ | --- Harbin Institute of Technology: getting started with program design-Python (Final Version) | ---- Category: the first version of this course, suitable for friends with relatively tight time | ---- Webpage address: getting started with programming | --- Coursera MOOC:Use Python to convert Data | ---- Class: Using Python to conveniently and quickly obtain, rep

problem and the Sorting Algorithm Based on the divide and conquer policy ** (7) [Python Algorithms-C7 Greedy] (Python Algorithms ) ** This section describes the greedy policy through several examples, including the knapsack problem, the Harman encoding, and the minimal spanning tree ** (8) [Python Algorithms-C8 Dynamic Programming] (Python Algorithms ) ** This section describes the implementation methods of the Memorandum and iterative method of dynamic planning based on some typical dynami

useful and interesting tool for connecting to the thought matrix. One of the benefits of college expertise is here, and it's easy to get a clear picture of what expertise needs to be applied in the relevant fields, even if it's not good at the time. This is also I think that the need to go to graduate school, the necessity of continuing to enter a higher field, you know that your horizons and more in-depth knowledge can be researched and applied.https://class.coursera.org/Duke University: Image

Android DevelopmentThis is Daniel Commonsguy open source of a book, it is updated very timely, basically follow the SDK update, download PDF can be downloaded here (four-to-free Guarantee), the source code in the book can be on GitHub ( Commonsguy/cw-omnibus) in the view; Best Android Books and Resources 2014This article mainly introduces the Android books and development resources; Open Class How to Develop Android Apps Online course-udacity Programming Mobile app

= 1500#Number of iterations the -J = Computecost (X, Y, M, theta)The above code has well implemented the cost function algorithm, because our initialization theta value is 0, so the initial value of J is also 0, then we need to use gradient descent algorithm to calculate theta0 and Theta1, So first on a coursera above the assignment i use MATLAB drawings (data is not the same), followed by the Python code to implement the type diagram:It is the case

write down some points or tips-When reading the code, type the code and understand its meaning in the R environment-Keep practicing and try to use the data around you for application analysis-Understand the rationale behind expansion packages and functions (citation paper? GLM)# network Resources #-[Official R language Station] (http://www.r-project.org/)-[R-blogger] (http://www.r-bloggers.com/)-[Summary of R language resources] (Https://github.com/qinwf/awesome-R)-[R language search engine] (h

+'}}') req.add_header('Cookie', cookies) content = urllib2.urlopen(req).read() patt='"id":(\d+),"netName":"' friends=re.findall(patt,content) return friendsdef AllFriendsLinkCSV(cookies,friendList,filename): f=open(filename,'w') f.write('Source,Target\n') for friendID in friendList: f.write('xxxx,'+friendID+'\n') # replace XXXX with your ID for friendID in friendList: friends=ShareFriends(cookies,friendID) for ID in friends: f.write(fri

Recently, I have been learning the course Web Intelligence and big data on Coursera. Last Friday, an Indian teacher assigned a homework assignment asking me to write a mapreduce program and use python for implementation. The detailed description is as follows: Programming assignment for hw3 Homework 3 (programming assignment) Download data files bundled as A. ZIP file from hw3data.zip Each file in this archive contains entries that look like: Journal

Find a good article on the internet, paste it directly, add some supplements and your own understanding, and count as this article. My education in the fundamentals of machine learning has mainly come from Andrew Ng's excellent Coursera course on the topic. one thing that wasn't covered in that course, though, was the topic of "Boosting" which I 've come into SS in a number of different contexts now. fortunately, it's a relatively straightforward topi

Tags: quick sorting Coursera 1. Basic Idea of quick sorting 2. Implementation of quick sorting 3. Improved quick sorting (1) when the number of recursive subset elements is smaller than a certain number (such as 10), insert and sort them directly. (2) Whenever possible, ensure that it is close to median. 4. Fast sorting Application (1) Find the K decimal number in the set. 5. Fast sorting when there are many elements in th

Traveling Salesman Problem is a well-known problem. This time it was because of the algorithm class selected by Coursera and the code implementation was written. Here is a summary. Test procedure: 2520833.3333 17100.000020900.0000 17066.666721300.0000 13016.666721600.0000 14150.000021600.0000 14966.666721600.0000 16500.000022183.3333 13133.333322583.3333 14300.000022683.3333 12716.666723616.6667 15866.666723700.0000 15933.333323883.3333 14533.33332416

functions, began not accustomed to stata programming way, so the code is not easy to reuse, do file a long, slowly feel a bit chaotic. And then the matrix operation and computing function is not very good.Later, with his interest in data science and machine learning, there were some Python-based courses on the edx, Coursera, Udacity and other platforms. One of the most rewarding lessons for the utility is EdX's two Python courses (6.00.1x and 6.00.2X

(floatval($u_sec) + floatval($sec));}$start_time = microtime_float();//do somethingusleep(100);$end_time = microtime_float();$total_time = $end_time - $start_time;$time_cost = sprintf("%.10f", $total_time);echo "program cost total " . $time_cost . "s\n"; The above is all the content of this article for your reference and hope to help you learn it. Articles you may be interested in: Php IIS log analysis search engine crawler record program Php displays different content to visitors and crawle

empirical science. A few days ago, Coursera launched a series of special courses, one of which is the Data Science series offered by the Bloomberg School of Public Health at the prestigious free open course website. Marvel at the fact that foreigners share the best education in the world, I don't even know why many experts and professors in China refuse to share their lectures with the students (I believe everyone has heard the lectures and asked for

method. p (x | Y) is the likelihood function, P (Y | X) is the posterior probability. In fact, the maximum likelihood function is a common method. If we maximize the likelihood function of Y in the linear regression, we will also obtain the quadratic loss function ). Since the output variable Y of Logistic regression is only 0 or 1, it is widely used in two categories of classification problems. If y = 1 ~ K, you can solve the k class classification problem, that is, the softmax algorithm to be

learned a lot from them. Well, that's all. I hope I can become an orthodox programmer one day! For more information about learning and self-cultivation, I would like to share some of my favorite websites. 0: Another masterpiece of GitHub Linus, a real programmer's house! 1. Quora's best foreign Q A community 2. zhihu's best Chinese Q A community 3. Tiger sniffers a very cool new technology media 4 pingwest fresh tech media 5. Ruan Yifeng's attitude towards network logs. 6. NetEase Open Cours

Outline of the software and hardware interface Course Coursera course the hardware/software interface is a course provided by the University of Washington. I think it is very useful for students who want to learn programming. The teaching environment is fedora, which introduces the use of some common tools.Course outline This course will let students know what happened when the software was running and explain the problem through several layers of a