coursera uiuc

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

: A resource management platform for distributed environments that enables Hadoop, MPI, and spark operations to execute in a unified resource management environment. It is good for Hadoop2.0 support. Twitter,coursera are in use.Tachyon: is a highly fault-tolerant Distributed file system that allows files to be reliably shared in the cluster framework at the speed of memory, just like Spark and MapReduce. Project Sponsor Li Haoyuan said that the curren

Course address: https://class.coursera.org/bigdata-002/class/index The final exam of this course is as follows: Final-Part 1 of 3: Look listenanswer: A pre-clustering clients using locality-sensitive hashing and linking each result of an inverted-index search toRest of the documents in the same hash 'bucket '. Final-Part 2 of 3: Load learnfinal-Part 3 of 3: connect predict Answer:Non-linear regression using a trigonometric function This is my first course on

good news is that you don't have to wait for code.org to announce that you've started studying computer science. In fact, this is one of the easiest subjects to learn, and you only need a computer and a network cable. I think you are reading this article now, so it is possible that you have both.Here, share some good resources:University Courses Coursera Udacity MIT OpenCourseWare Stanford Engineering Everywhere Academic Eart

? Learn to program, to Codeacademy on the right. Stanford Engineering everywhere-has a lot of free resources for engineering classes. Big Data university-teaches you how to do a large-scale analysis. Better explained-from the overall picture to explain abstract math (and other areas) concepts to you through images. 　　University Courses The edx-free courses from the world's top universities, including MIT and Harvard University, and provides a paid certificate.

using Python crawler tutorial crawl baidu paste and download the example Python crawls the detailed process of Coursera course resources A lightweight and simple crawler implemented by PHP PHP implementation of simple crawler methods PHP code to implement crawler records--super-works http://www.bkjia.com/PHPjc/1094751.html www.bkjia.com true http://www.bkjia.com/PHPjc/1094751.html techarticle PHP crawler million level of knowledge

Recently is a period of idle, do not want to waste, remember before there is a collection of machine learning link Andrew ng NetEase public class, of which the overfiting part of the group will report involved, these days have time to decide to learn this course, at least a superficial understanding.Originally wanted to go online to check machine learning books, found that Lee's "statistical learning Method" and PRML (Pattern recognition and machine learning) is highly respected, have time to se

Learning Guide for machine learning beginners (experience sharing)2013-09-21 14:47I computer research two, the professional direction of natural language processing, individuals interested in machine learning, so began to learn. So, this guy is a rookie ... It is because of their own is a rookie, so realize the hardships of self-study machine learning, so here to share a personal experience, hope to be helpful to the beginner.Some of the introduction of machine learning here does not do a detail

I browsed some of the machine learning blogs of Daniel and summarized the typical contents as follows: 1. Book Reading Notes 2. Paper Reading Notes and classification survey summary 3. Technical Note and tutorial Reading Notes 4. Summary of typical and difficult problems 5. Study Plan and study records (updated daily) 6. Monthly summary and semester Summary 7. Coursera online course Study Notes 8. Summary of classic learning materials 9. Trav

After being confused by Hot Spot's messy and changing parameters, I decided to change things for fun. Then we found the machine learning video on Coursera. Reading a few paragraphs is quite simple, so I recorded them in itouch and checked them out from time to time. The day before yesterday, I finally finished eating it. The content is really easy to understand. Now regression,NeuralNetworkK means I can also pass through one or two. In the US, SVM onl