ruby machine learning

Https://github.com/josephmisiti/awesome-machine-learning#julia-nlp Julia General-purpose Machine Learning Machinelearning-julia Machine Learning LibraryMlbase-a set of functions to support development of

some time ago on the Internet to see the Coursera Open Classroom Big Machine learning Cornerstone Course, more comprehensive and clear machine learning needs of the basic knowledge, theoretical basis to explain. There are several more important concepts and ideas in foundation, first review, and then open the follow-up

This article focuses on the contents of the 1.2Python libraries and functions in the first chapter of the Python machine learning time Guide. Learn the workflow of machine Learning.I. Acquisition and inspection of dataRequests getting dataPandans processing Data1 ImportOS2 ImportPandas as PD3 ImportRequests4 5PATH = R'E:/python

to the right in this image. We can generally see the two learning curves, the two curves of blue and red are approaching each other. Therefore, if we extend the curve to the right, it seems that the training set error is likely to increase gradually. The cross-validation set error will continue to decline. Of course, we are most concerned with cross-validation set errors or test set errors. So from this picture, we can basically predict that if we co

in the process of learning rate can be seen as the length of the descent process, assuming that your step is very big can cross the valley directly on the opposite side of the mountain, it is difficult to get the local optimal solution. At this point, reducing the step size will increase your chances of going to the ground.2. About the cross fittingBy using the methods of drop out, batch normalization and data argument, the generalization ability of

Recently saw a relatively good machine learning course, roughly heard it again. The overall sense of machine learning field is still more difficult, although Li Hongyi teacher said is very good, not enough to absorb up or have a certain difficulty. Even though the process has been told, it is difficult to understand ho

Pick up a Redis Ruby client learning (ii)For the five data types of Redis: string, hash (Map), list, collection (sets) , and ordered collection (sorted sets), the previous article describes the string.1, hash (MAP) Hset. Sets the value of the specified field in the specified hash set of key. If the hash set specified by key does not exist, a new hash set is created and associated with the key. If t

What are machine learning?The definitions of machine learning is offered. Arthur Samuel described it as: "The field of study that gives computers the ability to learn without being explicitly prog Rammed. " This was an older, informal definition.Tom Mitchell provides a more modern definition: 'a computer program was sa

Python Machine Learning Theory and Practice (6) Support Vector Machine and python Learning Theory In the previous section, the theory of SVM is basically pushed down, and the goal of finding the maximum interval is finally converted to the problem of solving the alpha of the Child variable of the Laplace multiplication

Knowing an algorithm and using an algorithm are two different things. What should I do if I find that the model has a big error after you train the data? 1) Obtain more data. It may be useful. 2) reduce feature dimensions. You can manually select one or use mathematical methods such as PCA. 3) Obtain more features. Of course, this method is time-consuming and not necessarily useful. 4) add polynomial features. Are you trying to save your life? 5) Build your own, new, and better features. A litt

July online April machine learning algorithm class notes--no.1 Objective Machine learning is a multidisciplinary interdisciplinary, including probability theory, statistics, convex analysis, feature engineering and so on. Recently followed the July algorithm to learn the knowledge of

",: a,:b];　　　　　　　　　　　　2 array.each do |i| #使用do: End to specify a code block that loops within the array of 3 if i.is_a? ( Numeric)4Array.each_with_index do |item,i| #数组的each_with_index方法包括元素和下标的值p [Item,i];Endb) {...}1 a=[1,34,21,2,30,563]2 p a.sort{|x,y| 3 When X.to_s.length>y.to_s.length then 14when x.to_s.length5 Else 06 End}c) Use yield to replace the code block, that is, the need to call the code block when the yield(a) yie

method does not exist:Class MyClass? ? def method_missing (name)? ? ? ? Puts "getting #{name} info"? ? ? ? Puts "getting #{name} price"? ? EndEndobj = MyClass.NewObj.cpuBut method_missing () is not free to use, think carefully about the above code, there are a lot of problems, such as will call you do not want to call some methods, such as Pig.fly, in the above problem, if the database does not have some data, for example, book, if the use of Ghost method to invoke, it will cause errors. So you

First, global variablesGlobal variables are supported in Ruby, and global variables in Ruby are characterized by the following:1) identifiers are marked with a $ start2) Global variables can be referenced from anywhere in the program3)nil. Let's take a look at the example class Demo def print puts $a end end puts $a # reference undeclared global variable, $a this value is nil demo = Demo.newd

There are several forms of variables in Ruby, which are local variables, instance variables, class variables, and global variables. For beginners, it is often easy to confuse, especially if I do java like this, I still have a headache to understand, after careful Identify learning, and summarize the differences and usage scenarios of these variables: First, the naming method 1. Local variables: lowercase

Machine Learning 4, machine learning Probability-based classification method: Naive BayesBayesian decision theory Naive Bayes is a part of Bayesian decision-making theory. Therefore, before explaining Naive Bayes, let's take a quick look at Bayesian decision-making theory knowledge. The core idea of Bayesian decision-m

In machine learning, often need to calculate the distance between each sample, used for classification, according to distance, different samples grouped into a class; But in the current machine learning algorithm, the distance calculation mode is endless, then this blog is mainly to comb the current

A brief introduction to Learning _note1 against Sample machine Machine learning methods, such as SVM, neural network, etc., although in the problem such as image classification has been outperform the ability of human beings to deal with similar problems, but also has its inherent defects, that our training sets are fe

The Ames Razor principle (Occam ' s Razor)One sentence is said, "an explanation of the data should is mad as simple as possible,but no simpler".The meaning of machine learning is that the simplest explanation of the data is the best explanation (the simplest model, fits the data is also and the most plausible).For example, the picture above, the right is not better than the left to explain? That's obviously

Some difficulties in learning ruby language learning comprehension The Ruby language is a relatively simple language because all of its design principles are object-oriented, so it's especially handy to use. Of course, the main reason is that it has the same grammatical features as Python, swift and so on, whi