stanford courses

Yonyou has an institution called yonyou University, which is mainly responsible for two jobs: Staff Training for yonyou, aimed at on-the-job employees, and training for potential employees, it is mainly carried out through the School of consultants and is charged to students. If the employees are excellent, they can be directly recommended to the branches of yonyou for employment. At the same time, there is also an organization in UFIDA's national branches responsible for training, training coop

CoursesTime limit:20000/10000 MS (java/others) Memory limit:65536/32768 K (java/others)Total submission (s): 4233 Accepted Submission (s): 2014Problem Descriptionconsider A group of N students and P courses. Each student visits zero, one or more than one courses. Your task is to determine whether it was possible to form a committee of exactly P students that satisfies simultaneously t He conditions:. Ever

Courses Time limit:20000/10000 MS (java/others) Memory limit:65536/32768 K (java/others)Total submission (s): 3805 Accepted Submission (s): 1815 Problem Description Consider a group of N students and P courses. Each student visits zero, one or more than one courses. Your task is to determine whether it was possible to form a committee of exactly P students th

Buy Oracle Database Course package and enjoy 85 discount!!Package Address: http://edu.51cto.com/pack/view/id-807.htmlPerformance optimization for Oracle 11g R2 databaseDatabase performance problem is the most discussed topic in database field, because it involves database principle, IO storage, server performance, foreground application and so on, so the performance problem is very test the optimization of internal strength. This course will describe the tuning options for Oracle databases in a

) { performseguewithidentifier ("Nothing", Sender:nil) }You can see that we let sender for nil delegate Click on this button to do nothing, but it will still execute to the Prepareforsegue method, at this time we add a case in the Prepareforsegue method:Case ' nothing ': hvc.happiness = 25Run you'll find the Nothing button still works.So why do we use segue in our code, and you might want to determine which segue to use based on some state after the button is clicked, which is a classi

can do some global operations in these proxy methods.If you have a phone call when you use the app, the app pauses and the status moves from active to inactive.From active to inactive such as when your app loads successfully, it calls the method above and loads applicationdidbecomeactive (uiapplication) When your app becomes inactive from inactivity. This proxy method and the Pause proxy method above are a pair. You can use uiapplicationdidbecomeactivenotification this station.The following pro

UITableViewCell, You can then use the UITableViewCell API: For a custom cell: The same is true with identifier, and the difference is that you need to convert the type to the type it needs, and then use the APIs in the subclass: Except cellfor ... This method, take a look at the other two methods in DataSource: Section has a default value of 1, you do not override this method, the number of sections will be set to 1. But the number of row does not have a default value, so you must override this

in the parameters of the Nsfetchrequest type, you can set the query request to query the data in the database, get the return value of Nsarray type, the member type is nsmanagedobject. This is what you can do with the database. Once you have these Nsmanagedobject objects, you can use both methods: SetValue and Valueforkey to manipulate the object, or to create a subclass of NSObject, usually with the same name as the entity in the database: class Photo:NSObject {@NSManagedtitle:String}Then use

interacts with some data without returning any information, such as adding a new contact, and if you need to, you can interact with unwind segue, but most modal MVC will only dismiss (remove) themselves. So how to remove it? If you use unwind, the current controller is automatically removed when you return to the specified controller. If you do not apply unwind, you need to call dismiss, call the following method: dismissviewcontrolleranimated, and then return to the previous MVC (that is, MVC

animations is to set the MyView to full transparency. The meaning of the first parameter 3.0 is that the transparent process will be completed in 3 seconds, the second parameter 2.0 meaning that the animation will delay 2S. The third parameter options are used in all animation methods, which is an enumeration that indicates different types of animations, which are described later.Animations is what we need to do, completion is the completion of the operation, just see in the definition of the c

learning combat" in p82-83 gives an improved strategy, the learning rate is gradually declining, but not strictly down, part of the code is: For J in Range (Numiter): For I in range (m): alpha = 4/(1.0+j+i) +0.01 so Alpha decreases 1/(j+i) every time, and when J 3. Can the random gradient drop find the value that minimizes the cost function? Not necessarily, but as the number of iterations increases, it will hang around the optimal solution, but this value is sufficient for us, and machine lear

in x:A. f (x) = a + b^2xB. The discriminant function from LDA.C. \delta_k (x) = x\frac{\mu_k}{\sigma^2}-\frac{\mu_k^2}{2\sigma^2} +\log (\pi_k)D. \text{logit} (P (y = 1 | x)) where p (y = 1 | x) is as in logistic regressionE. P (y = 1 | x) from logistic regressionCorrect answer:eP(y=1|x)">explanation:p (y = 1 | x) from logistic regression are not linear because it involves both an exponential function of X and a ratio. f(x)=a+b2x">5.1 R2 What is reasons why test error could is less than trainin

mathematical expression was unfolded using Taylor's formula, and looked a bit ugly, so we compared the Taylor expansion in the case of a one-dimensional argument.You know what's going on with the Taylor expansion in multidimensional situations.in the [1] type, the higher order infinitesimal can be ignored, so the [1] type is taken to the minimum value,should maketake the minimum-this is the dot product (quantity product) of two vectors, and in what case is the value minimal? look at the two vec

invoking the example in MATLAB above, we can define the cost function of the logistic regression as follows:In the figure, Jval represents the cost function expression, where the last item is the penalty for the parameter θ; The following is a gradient of the derivation of each θj, where θ0 is not in the penalty, so gradient is not changed, and Θ1~θn has one more (λ/m) *θj respectively;At this point, regularization can solve the linear and logistic overfitting regression problem ~

)Ans =01Note: The first data above the main diagonal is taken as the starting data, and is sorted in diagonal order as a column vector form4, V = diag (x) returns the element on the main diagonal of matrix X, similar to Diag (X,K), Case 5 of K=0:V=[1 0 0;0 3 0;0 0 3];Diag (v)Ans =133or instead:V=[1 0 3;2 3 1;4 5 3];Diag (v)Ans =133Note: The data of the main diagonal is taken out as a column vector form5,diag (diag (X))Take the diagonal element of the X-matrix and construct a diagonal matrix with

symmetric semi-definite matrixin the case where the data is non-linear:called L1 norm soft margin SVM. is a convex optimization problem. It allows an interval of less than 1, which allows for the categorization of errors. SMO algorithm:coordinate ascent algorithm:This algorithm has more iterations, but at some point the inner loop will be very fast if a parameter in W (A1,,, am) is very small at the cost of finding the optimal value. SMO:If only one α is solved as SVM, the other α is fixed. obt

Official website: http://see.stanford.edu/see/courseinfo.aspx?coll=824a47e1-135f-4508-a5aa-866adcae11111.JDK installation (select machine corresponding version to download and install)Http://www.oracle.com/technetwork/java/javase/downloads/java-archive-downloads-javase6-419409.html#jdk-6u45-oth-JPRNote: You need to install jdk1.6 and the following version Karel Environment in order to function properly, otherwise the runtime appears JPanel panel only the file option does not Karel the phenomenon

is more than one, the Newton method iterates over the rule:Newton's method usually has a faster convergence rate than the batch gradient, and it takes a much smaller number of iterations to get close to the minimum value. However, when the parameters of the model are many (n), the computational cost of the Hessian matrix will be large, resulting in a slower convergence rate, but when the number of arguments is not long, the Newton method is usually much faster than the gradient descent.Summariz

based on the minimum mean variance. The closer to the predicted point, the heavier the weight, which is to use the points near the check to give higher weights. The most common is the Gaussian nucleus. The weights corresponding to the Gaussian nuclei are as follows:In (Formula 2), the only thing we need to make sure is that it's a user-specified parameter that determines how much weight is given to nearby points.Therefore, as shown in (Equation 3), local weighted linear regression is a non-para

1.common Errors (Obob)2.comment comments/* */Paragraph NotesLine Comment3.decomposition "Top Down Design"Decomposition from top to bottom design4.doublebeeper1 ImportStanford.karel.*;2 Public classDoublebeeperextendskarel{3 intNum=0;4 Public voidrun () {5 move ();6 Doublebeeper ();7 Moveback ();8 }9 Public voidMoveback () {Ten turnaround (); One move (); A turnaround (); - } - Public voidturnaround () { the turnleft (); - turnleft (); - } - Public voidDoubleb