best machine learning software

The host environment is Windows8.1, and the virtual machine software uses the VMware workstation10,linux to select the CentOS6.6 x86_64 version.One: Install VMware.To prepare the VMware installation package, click Install to install the application in the Windows environment.Two: Install the CentOS virtual machine in VMware environment. Open the VMware

: , where θ is the vector of (n+1) x1, x is the vector of (n+1) x1, ∙. We all use vectors to represent the hyper-plane behind. Except that θ is called a weight, and b is biased, so the complete expression of the super plane is:θ*x+b=0 The Perceptron model can be defined as y=sign (θ∙x+b) where: If we call sign the activation function, the difference between the perceptual machine and the logistic regression is that the sign,logistic regression acti

Definition of successive descent method: For a given set of equations, use the formula:where k is the number of iterations (k=0,1,2,... ）The method of finding approximate solution by stepwise generation is called iterative method If it exists (recorded as), it is said that this iterative method converges, obviously is the solution of the equations, otherwise called this iterative method divergence. Study the convergence of {}. Introducing Error Vectors:Get:Recursion gets:To inve

Experimental purposes Recently intend to systematically start learning machine learning, bought a few books, but also find a lot of practicing things, this series is a record of their learning process, from the most basic KNN algorithm began; experiment Introduction Language: Python GitHub Address: LUUUYI/KNNExperiment

-3PO, Terminator. There is also a concept of "weak AI" (narrow ai). In short, "weak AI" can accomplish some specific tasks like human beings, possibly better than humans, for example, Pinterest service uses AI to classify images, Facebook uses AI to identify faces, and this is "weak AI". The above example is a case of the actual use of "weak AI", which has embodied some of the characteristics of human intelligence. How to achieve. Where the intelligence comes from. With a question we understand

Brief introduction:Support Vector Machine (SVM) is a supervised learning model of two classification, and his basic model is a linear model that defines the largest interval in the feature space. The difference between him and the Perceptron is that the perceptron simply finds the hyper-plane that can divide the data correctly, and SVM needs to find the most spaced hyper-plane to divide the data. So the per

, Terminator.There is also a concept of "weak artificial intelligence (Narrow AI)". In short, "weak AI" can accomplish certain tasks like human beings, possibly better than humans, for example, Pinterest service uses AI to classify images, and Facebook uses AI to recognize faces, which is "weak AI".The above example is a case of "weak artificial intelligence", which already embodies some of the characteristics of human intelligence. How is it achieved? Where does this intelligence come from? Wit

I. Working methods of machine learning ① Select data: Divide your data into three groups: training data, validating data, and testing data ② model data: Using training data to build models using related features ③ validation Model: Using your validation data to access your model ④ Test Model: Use your test data to check the performance of the validated model ⑤ Use model: Use fully trained models to mak

The topic of machine learning techniques under this column (machine learning) is a personal learning experience and notes on the Machine Learning Techniques (2015) of Coursera public co

Python machine learning Chinese version, python machine Chinese Version Introduction to Python Machine Learning Chapter 1 Let computers learn from data Convert data into knowledge Three types of machine

1. Scikit-learn IntroductionScikit-learn is an open-source machine learning module for Python, built on numpy,scipy and matplotlib modules. It is worth mentioning that Scikit-learn was first launched by David Cournapeau in 2007, a Google Summer of code project, since then the project has been a lot of contributors, And the project has been maintained by a team of volunteers so far.Scikit-learn's biggest fea

Octave Machine Learning Common commands A, Basic operations and moving data around 1. Attach the next line of output with SHIFT + RETURN in command line mode 2. The length command returns a higher one-dimensional dimension when apply to the matrix 3. Help + command is a brief aid for displaying commands 4. doc + command is a detailed help document for displaying commands 5. Who command displays all current

This paper is organized from the "machine learning combat" and Http://write.blog.csdn.net/posteditBasic Principles of Mathematics: Very simply, the Bayes formula: Base of thought: For an object to be sorted x, the probability that the thing belongs to each category Y1,y2, which is the most probability, think that the thing belongs to which category.Algorithm process: 1. Suppose something to be sorted x, it