coursera ucsd

In Coursera Stanford Machine Learning,lecturer strongly recommended open source programming environment octave Start, so I also downloaded to try itReference Link: http://www.linuxdiyf.com/linux/22034.html******************************************************************************Installation (Ubuntu16.04): I saw the Xia Guan Web, Ubuntu has been updated to 4.0.3, but still choose stable, this should be 4.0.2$ sudo apt-add-repository ppa:octave/stab

Bengio, LeCun, Jordan, Hinton, Schmidhuber, Ng, de Freitas and OpenAI had done Reddit AMA's. These is nice places-to-start to get a zeitgeist of the field.Hinton and Ng lectures at Coursera, UFLDL, cs224d and cs231n at Stanford, the deep learning course at udacity, and the sum Mer School at IPAM has excellent tutorials, video lectures and programming exercises that should help you get STARTED.NB Sp The online book by Nielsen, notes for cs231n, and blo

Learn how to learnIn the "How to learn" this point, has always felt that they do not good enough, once wanted to learn the guitar, insisted on the two weeks to "finger too short, not suitable" end, and then want to learn mathematics, but eventually even opened the courage of the book did not, work a busy is to attend to these. So on Youtube to see Barbara Oakley learning how to learn, only to find their learning problems, a lot of harvest. If interested, it is recommended to watch the video dire

papers he didn't understand. He wears the same blue Oxford shirt every day. He was both shy and proud when his colleague brought up his lovely robot-themed engagement photo with his current wife. His wife is a surgical robot expert Carol Reiley. (Pay attention to his blue shirt in the photo!) ）He has a softer voice than anyone, but that doesn't prevent him from becoming a popular orator. In 2011, when he hooked up his Stanford University machine learning video to the Internet, 100,000 people en

) {queue.offer (L); } } } } if(Res.length ()! =indegree.size ()) { return""; } returnres.tostring (); }}Off Topic:The food is too rich these days. Friday BCD Tofu, Saturday Liu Hotpot (renamed), Sunday went to flushing to eat the old sheep Hall, the result is slack. But it's also good to have fun with our little friends and relax. The decoration of the house is nearing the end, and tomorrow Monday is expected to be finishe

slowly; conversely, if it is too large, the algorithm may miss the minimum value, or even not converge. Another thing to note is that, above $\theta_0, \theta_1$ 's update formula uses all the data in the dataset (called "Batch" Gradient descent), which means that for every update, we have to scan the entire data set, Causes the update to be too slow.Review of linear algebra Matrix and Vector definitions Matrix addition and multiplication Matrix-Vector Product Matrix-matrix

basically recommend II possible directions: (1) SVM ' s, or (2) Tree ensembles. If I knew nothing on your problem, I would definitely go for (2), but I'll start with describing why SVM ' s might is S Omething worth considering.Support Vector Machines Support Vectors machines (SVMs) use a different loss function (Hinge) from LR. They is also interpreted differently (maximum-margin). However, in practice, an SVM with a linear kernel was not very different from a Logistic Regression (If You are cu

distribution, in accordance with the joint distribution of the query, we can obtain pi.Q's design is said to be a value of 60W knife annual salary job, dare not to speculate. Here we assume that Q is given (UNIFORM/SW) **********************************************The MH sampling process is as follows:1, given assignment, according to the F to find Pi (Assignment)2, according to the above formula to calculate the acceptance probability a3, decide whether to accept, complete the sampling update

explained above for the logistic is from the short tutorial of Coursera, because it is a short tutorial, so Professor Andrew did not make a detailed formula deduction proof, want to watch the small partners can go to NetEase Open class to find detailed tutorials and deduction. I have taken the time to see the details of Andrew's course below to derive the specific derivation and origin of the cost function of the logistic.First of all our hypothesis

things you will do in the future:Feel this weekend will be very busy, first Test four level (feel listening to kneel), and the school race to soy sauce. There is a lot of math homework to write, and there is an English test next week. But the programming of learning plans can not stop: last night in the thinking of these: first to the Zhejiang University Video followed, and then brush Coursera of the PKU tutorial, I have to say this tutorial difficul

optimization method (like SGD).Specific introduction to the literature:D. Kingma, J. Ba.Adam:a Method for Stochastic optimization. International Conference for Learning representations, 2015.5. NAGNesterov's accelerated Gradient method (Nesterov's accelerated gradient) is the most ideal method in convex optimization, and its convergence speed is very fast.Specific introduction to the literature:I. Sutskever, J. Martens, G. Dahl, and G. Hinton.On the importance of initialization and Momentum in

: This problem was equivalent to finding the topological order in a directed graph. If a cycle exists, no topological ordering exists and therefore it'll be impossible to take all courses. Topological Sort via dfs-a great video tutorial (minutes) on Coursera explaining the basic concepts of topological so Rt. Topological sort could also is done via BFS. Analysis:Using the topology sort, refer to here.A simple topological sorting

Add by Zhj: The most important thing to improve your level at work is the ability to learn quickly. This article is to explore this problem, mastered the fast learning ability of the law, you naturally have a rapid learning ability.Original: Learning how to learn study notes Strongly recommended Coursera course "Learning how to learn". One of the main points of this course is Diffuse mode thinking (e.g. regular physical exercise)

wild way of origin, skill is also followed by the company's business where to play, roaming between the various frameworks, tired miserable. I know to see Kanki mo This column, deeply own foundation is not thick, now in Coursera with some elite's basic course, has taken care of all Python courses, is the basic knowledge of compiling principle, algorithm and so on, obvious progress is now also can build some wheel of oneself, although still very poor.

in many cases, non-university graduates have become able-to-recruit people. "As long as you can program," says a hiring executive at Nicole Tucker,icims. "As long as you have the ability to solve problems, full of curiosity, then you can try." Tucker added that iCIMS hired programmers to be self-taught in Codecademy and Coursera. Tucker says she attaches great importance to the motivation of candidates. But now the problem is that many people choose

Facebook for Developers, Twitter Developers, Amazon AWS) Raise Questions on the Q A website (such as Quora and Stackoverflow) Learn from MOOC websites (Coursera, Udemy, etc.) or YouTube channels Finally, use the following channels for key technical figures/companies on social media (Twitter, LinkedIn, etc ). 5. have a healthy mind, body, and soul This is the most important thing, because it can maintain a person's spirit, ensure that we have a fr

Octavematlab often use drawing knowledgeSome time ago in Coursera saw Andrew Ng's machine learning course, feel good, is a primer. This plan takes the work of this course as the main line, summarizes the basic knowledge of machine learning. The younger brother learns shallow, if has the mistake, please instruct.Take a look at a few examples.The meaning of ' ro '. R is red, O is O-shaped.The ability to remember certain frequently used options.watermark

Coursera on the public class "https://www.coursera.org/course/textanalytics" series, speak very good oh. Finally, the text classification, and the pLSA of several variants, including:Opinion mining and sentiment analysis:ordinal Logistic Regressionopinion Mining and sentiment analysis: latent Aspect Rating analysisContextual Text mining:contextual probabilistic latent Semantic analysisContextual Text mining:mining Topics with social Network as Context

About type conversions in CThe type conversion in C has been stuck in the type lift table in C and pointers, which gives the ascending order of the type, that is, if a variable of type int and short,short in an expression is automatically promoted to int. But for the specific reasons, never went to the detailed thought, before reading a rough, did not read a book, understand the overall meaning to feel that they really understand the intention of the author, recently in the

reduced after removing the label, (2) using the data of the reduced dimension to train the model, (3) for the new data points, the PCA reduced dimension to obtain the dimensionality reduction data, and the model to obtain the predicted value. Note : You should only use the training set data for PCA dimensionality reduction get Map $x^{(i)}\rightarrow z^{(i)}$, and then apply the mapping (PCA-selected principal matrix $u_reduce$) to the validation set and test set do not use PCA to block ove