stanford machine learning certificate

Although Machine Learning is still in the early stage of development, but its integration into the application of the relevant industries, the prospect of immeasurable, and its potential value is doomed machine learning will become the main application of the enterprise. This article and everyone to share is for differ

values of each eigenvalue have the same scale range, so that the influence of each eigenvalue is the same.How do I set the value of λ? By selecting a different λ to repeat the test process, a λ that minimizes the prediction error is obtained. The best value can be obtained by cross-validation-the sum of squared errors is minimized on the test data.Ridge regression was first used to deal with more than a sample number of features, and is now used to add human bias to the estimate, thus obtaining

thousands of. However, the article also leaves a few very fundamental questions, such as this coreset appears to be for the logistic regression special structure, do not know how to construct other algorithms. In addition, the algorithm itself needs to k-clustering the data, which may be difficult for big data to achieve, so the overall efficiency of the algorithm has yet to be tested. But these do not obscure the novel idea of this article. Data programming:creating Large Training sets, Quickl

friends, but also hope to get the high people of God's criticism!　　 　　 　　Preface　　[Machine Learning] The Coursera Note series was compiled with notes from the course I studied at the Coursera learning (Andrew ng teacher). The content covers linear regression, logistic regression, Softmax regression, SVM, neural networks, and CNN, among other things, and the main

This section begins the Basic theory system learning phase of machine learning and deep learning, and the blog content is the notes that are collated during the learning process.1. Machine learningConcept: Multi-disciplinary inter

Hello everyone, I am mac Jiang, today and everyone to share Coursera-stanford university-machine Learning-week 10:large scale machine learning after the class exercise solution. Although my answer passed the system test, but my analysis is not necessarily correct, if you bo

: Framework for training and evaluating AI models on a variety of publicly available conversation datasets, Alexander Miller (GitHub 2578 stars) from Facebook Link: Https://github.com/facebookresearch/ParlAI Content reference to: Facebook Open source AI framework Parlai: Easy Training Assessment Dialog model No.17 Fairseq: Sequences from FAIR to sequence kits (GitHub 2571 stars) Link: https://github.com/facebookresearch/fairseq Content reference to: Facebook proposes new CNN

In the last 20 blog posts, many machine learning algorithms have been involved, and the appetite has been exhausted. I decided to officially start the system-based Machine Learning Theory and try to enter the practical stage, cover: Professor Yaser Abu-Mostafa of Caltech focuses on traditional statistical theory. Pro

Why do statisticians and machine learning experts solve the same problem differently?Nir KalderoAt first glance, machine learning and statistics appear to be very similar, with little emphasis on the differences between the two disciplines. Machine

This is a creation in Article, where the information may have evolved or changed. Python has become one of the most commonly used languages in artificial intelligence and other related sciences due to its ease of use and its powerful library of tools. Especially in machine learning, is already the most favored language of major projects. In fact, in addition to Python, there is no shortage of developers in

SATRT: Video, handouts, notes, etc. of Stanford University's machine learning public course. http://mooc.guokr.com/note/16274/1. Stanford University Machine Learning Open Class:Http://open.163.com/special/opencourse/machinelearnin

: Random initialization Loop until convergence { Each State transfer count in the sample is used to update and R Use the estimated parameters to update V (using the value iteration method of the previous section) According to the updated V to re-draw } In step (b) We are going to do a value update, which is also a loop iteration, in the previous section we solved v by initializing v t

Today began to study Stanford University CS229 course, do not want to completely copy the handout, hope to add their own understanding, beginners, inevitably error, welcome correct. The first lesson introduces the knowledge framework for machine learning, CS229, as long as the inductive reasoning approach in machine

://www.tuicool.com/articles/Av6NVzyAdvantages and disadvantages of various classification algorithms-Study Note 1.0-Home Economics (formerly NPC Economic Forum)Http://bbs.pinggu.org/thread-2604496-1-1.htmlMachine Learning Data Mining Note _16 (Common interview machine learning algorithm idea simple combing)Http://www.cnblogs.com/tornadomeet/p/3395593.htmlWu The

emerging. The text of the formula looks a bit around, below I send a detailed calculation process diagram.Refer to this: Http://www.myreaders.info/03_Back_Propagation_Network.pdf I did the finishing Here is the calculation of a record, immediately update the weight, after each calculation of a piece is immediately updated weight. In fact, the effect of batch update is better, the method is not to update the weight of the case, the record set of each record is calculated once, the added valu

This is the process of recording self-study, the current theoretical basis is: University advanced mathematics + linear algebra + probability theory. Programming Basics: C/c++,pythonIn watching machine learning combat this book, slowly involved. I believe that the people who have read the above courses can begin to learn machine

Starting today to learn machine learning, mainly in several aspects, is machine learning for my personal several aspects of the promotion is particularly large. Whether it's a financial or an image.In Finance I need machine learning