coursera introduction to machine learning

Hello everyone, I am mac Jiang, today and everyone to share the coursera-ntu-machine learning Cornerstone (Machines learning foundations)-Job four q13-20 MATLAB implementation. The previous code was implemented through C + +, but found that C + + implementation of the code is too cumbersome, the job also to change the

Hello everyone, I am mac Jiang, today and everyone to share the coursera-ntu-machine learning Cornerstone (Machines learning foundations)-Job four q13-20 MATLAB implementation.Once the code is implemented through C + +. However, it is too cumbersome to discover that C + + implements this code. This job also need to cha

"Python Machine learning and practice – from scratch to the road to Kaggle race" very basicThe main introduction of Scikit-learn, incidentally introduced pandas, NumPy, Matplotlib, scipy.The code of this book is based on python2.x. But most can adapt to python3.5.x by modifying print ().The provided code uses Jupyter Notebook by default, and it is recommended to

inspire rewards by trying and using errors to reveal specific actions. The agents can then use these rewards to understand the best state of the game and choose the next action.Quantifying the prevalence of machine learning algorithmsSome research reports (http://www.cs.uvm.edu/~icdm/algorithms/10Algorithms-08.pdf) have been done to quantify 10 of the most popular data mining algorithms. However, such a li

Reference:http://www.52nlp.cn/python-%e7%bd%91%e9%a1%b5%e7%88%ac%e8%99%ab-%e6%96%87%e6%9c%ac%e5%a4%84%e7%90%86 -%e7%a7%91%e5%ad%a6%e8%ae%a1%e7%ae%97-%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0-%e6%95%b0%e6%8d%ae%e6%8c%96%e6%8e% 98A Python web crawler toolsetA real project must start with getting the data. Regardless of the text processing, machine learning and data mining, all need data, in addition to through som

SVM is mainly due to the introduction of nonlinear kernel functions. But new problems continue to arise, and these problems involve different areas of knowledge and business scenarios, often relying on only a few common kernel function does not solve the problem. However, SVM relies too much on kernel functions, and there are many limitations of kernel functions, and its flexibility is certainly inferior to that of artificial feature construction met

Tags: introduction baidu machine led to the OSI day split data setI. Introduction TO MACHINE learning Defined 　　The machine learning definition given by Tom Mitchell: For

Transferred from: HTTPS://HACKERLISTS.COM/BEGINNER-ML-COURSES/10 machine learning Online courses for BEGINNERS10 machine learning Online Courses for BeginnersThe following is a list of, mostly free, machine learning online courses

Tags: get attention to bin www. Command line nbsp PAC Read Write codeRecently began to look at Coursera above the machine learning course, the above mentioned a software--octave, so I transferred the following blog.Do not know what is the specific reason, I download octave-4.2.1-w64-installer.exe, the speed is extremely slow, so downloaded Octave-4.2.1-w64.zip, a

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

training set for training and get different model; 4, the model on the CV set on the performance of a score, choose a better performance models; There is a need to note that we will eventually choose to perform the best model on the CV set, but the final evaluation of this model is to be in a new data d_test (similar to the Netflix Prize competition, The official eventually gives your model a rating of data) on the test. Andrew NG recommends dividing the data as follows: k-fold Cross validtio

　　Preface In recent weeks, I spent some time learning the machine learning course of the Dragon Star program for the next summer vacation. For more information, see the appendix. This course chooses to talk about the basic model in ml. It also introduces popular and new algorithms in recent years. In addition, it also combines ml theory with actual problems, for

Support vector machine algorithm in deep learning does not fire up 2012 years ago, in machine learning algorithm is a dominant position, the idea is in the two classification or multi-classification tasks, the category of the super-plane can be divided into many kinds, then which kind of classification effect is the be

the basic linear regression in the process of adding a regular term. We know that the L1 features feature selection, which tends to leave relevant features and delete extraneous features. For example, in the text classification, we no longer need to display the feature selection of this step, but directly throw all the features into the model with L1 regularization, the model of the training process to carry out the feature selection.Pros: The advantages of the previous two methods are assemble

examples. Algorithms of the Intelligent Web (Smart Web algorithm) PDFAuthor Haralambos Marmanis, Dmitry Babenko. The formula in this book is a little bit more than "collective intelligence programming", the example of which is mostly the application on the Internet, to see the name. The disadvantage is that the matching code inside is BeanShell and not python or anything else. In general, this book is still suitable for beginners, and the same need to read the same as the previous one, if you

the Chinese people's xenophilia mood is too serious, it is true that many of the domestic book plagiarism phenomenon is serious, basically out of the book is for the purpose of the book, is not for people to see. But there is no denying that there are many good books in China!2. "Modern Pattern Recognition" (second edition), is really a good book, in my personal view, the Victory Duda that undoubtedly."Machine le