edx machine learning course

Learning notes for "Machine Learning Practice": Draw a tree chart use a decision tree to predict the contact lens type, The decision tree is implemented in the previous section, but it is only implemented using a nested dictionary containing tree structure information. Its representation is difficult to understand. Obviously, it is necessary to draw an intuitiv

data in fr.readlines ()] Lenseslabel = [ ' age ' , ' prescript ' , ' astigmatic ' , ' tearrate ' ]lensestree = Tree.buildtree ( Lensesdata, Lenseslabel) #print lensesdata print lensestreeprint plottree.createplot (lensestree) It can be seen that the early implementation of the decision tree construction and drawing, using different data sets can be very intuitive results, you can see, along the different branches of the decision tree, you can get different patients need to wear the ty

Course Description:This is the last lesson of the course, the author first summed up the theory, methods, models, paradigms, and so on machine learning. Finally, the application of Bayesian theory and Aggregation (aggregation) method in machine

Long time no See, Hulu machine learning questions and Answers series and updated again!You can click "Machine Learning" in the menu bar to review all the previous installments of this series and leave a message to express your thoughts and ideas, and perhaps see your testimonials in the next article.Today's theme is"Di

million points to find an optimal hyper-plane, where there are 100 supporting vectors, then I just need to remember the information of these 100 points, and for subsequent classifications it is only necessary to use these 100 points instead of all 1 million points for calculation. Of course, in addition to the "memory-based learning" algorithm such as K-nearest neighbor, usually the algorithm does not dire

In-depth spark machine learning combat (user behavior analysis)Course View Address: http://www.xuetuwuyou.com/course/144The course out of self-study, worry-free network: http://www.xuetuwuyou.comI. Objectives of the courseMaster the various operations of sparksql in-depth un

Machine Learning Algorithms and Python practices (7) Logistic Regression) Zouxy09@qq.com Http://blog.csdn.net/zouxy09 This series of machine learning algorithms and Python practices mainly refer to "machine learning practices. B

crawler Introduction, do not have to read too many books, online resources a lot of, of course, my csdn web crawler column , or quite popular:Tutorial Address: Click to viewBook Resources recommended:1. Want to learn the network crawler system, see "Python data collection " is a good choice (password: 2a69):Click to downloadMachine learning:Network Video recommendation: Wunda Teacher's machine

Python Tools for machine learningPython is one of the best programming languages out there, with a extensive coverage in scientific Computing:computer VI Sion, artificial intelligence, mathematics, astronomy to name a few. Unsurprisingly, this holds true to machine learning as well.Of course, it has some disadvantages

Summary:Classification and Regression tree (CART) is an important machine learning algorithm that can be used to create a classification tree (classification trees) or to create a regression tree (Regression tree). This paper introduces the principle of cart used for discrete label classification decision and continuous feature regression. The decision tree creation process analyzes the information Chaos Me

Keywords: machine learning, basic terminology, hypothetical spaces, inductive preferences, machine learning usesI. Overview of machine learningMachine learning is a process of computing a model from data , and the resulting model

Original: https://www.cbinsights.com/blog/python-tools-machine-learning/ Python is one of the best programming languages out there, with a extensive coverage in scientific Computing:computer VI Sion, artificial intelligence, mathematics, astronomy to name a few. Unsurprisingly, this holds true to machine learning as w

, produced by the model.–for regression, is often a sensible measure of the discrepancy.–for classification There is other measures that is generally more sensible (they also work better).Reinforcement learningCombinatorial reinforcement learning, the output is a action or sequence of actions and the only supervisory signal are an Occasiona L scalar reward., haven goal in selecting each action was to maximize the expected sum of the future rewards.–we

"Pattern Recognition and machine learning" ResourcesBishop's "Pattern Recognition and machine learning" is the classic textbook in this field, this article has collected the relevant tutorials and reading notes for comparative learning, the main search resources include CSDN

Za003-python data analysis and machine learning Combat (Tang Yudi)The beginning of the new year, learning to be early, drip records, learning is progress!Do not look everywhere, seize the promotion of their own.For learning difficulties do not know how to improve themselves

Many friends want to learn machine learning, but suffer from the construction of the environment, here is the Windows Scikit-learn Research and development environment to build steps.Step 1. Installation of PythonPython has versions of 2.x and 3.x, but many good machine learning Python libraries do not support 3.x, so

Original: http://www.52ml.net/15063.htmlHow to choose a machine learning algorithmMay 7, 2014 machine learning smallroof How does you know the learning algorithm to choose for your classification problem? Of course, if you really

Tags: directory Change mode virtual machine Installation Cow system environment view turned off1. Virtual machines:虚拟机指通过软件模拟的具有完整硬件系统功能的、运行在一个完全隔离环境中的完整计算机系统。**Learning is using the Redhat system virtual machine which consists of two parts of the file:(1). Hard disk File (Qcow2 file): The operating system is logged. All system information is on the hard drive. Q

direction, we can find a whole direction, in the change, we will be in the direction of the most downward change to achieve a minimum point, Whether it is local or global.To describe in a simpler mathematical language step 2) is this:Inverted triangle represents the gradient, in this way to express, θi is gone, look at the use of good vectors and matrices, really will greatly simplify the description of mathematics AH.Summary and preview:The contents of this article are mainly taken from the se

of energy and enthusiasm, I think this is the need to read Bo it.However, for me who just want to be a quiet programmer, in a different perspective, if you want to be a good programmer, in fact, too much of the theory is not needed, more understanding of the implementation of some algorithms may be more beneficial. So, I think this blog is more practical, because it is not in theory to do a big improvement and improve the effect, but a distributed machine