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Install ruby environment in Mac Machine

://get.rvm.io | Bash-s StableDuring this time, you will be asked your administrator's password, and automatically install the dependent package via homebrew, waiting for a period to install the RVM successfully. Then, load into the RVM environment (new open termal will not do so, will automatically reload)3. Set RVMEnable RVM with the following commandSOURCE ~/.RVM/SCRIPTS/RVMCheck to see if the correct command is installedRvm-vThe correct words will appear similar to the following textRVM 1.26.

Principle and programming practice of machine learning algorithm Chapter One basics of machine learning __ Machine learning

Preface: "The foundation determines the height, not the height of the foundation!" The book mainly from the coding program, data structure, mathematical theory, data processing and visualization of several aspects of the theory of machine learning, and then extended to the probability theory, numerical analysis, matrix analysis and other knowledge to guide us into the world of

The collation of "Ruby on Rails learning two" online learning materials

Because the task is heavy, time is tight, there is not much time to study, roughly find some online learning materials, here to do a collation, I hope that the same friends who are ready to learn to helpOnline documentation Classes:Ruby on Rails combat Bible using Rails 4.2 and Ruby 2.3 (Simplified Chinese version)Rails Guides (English version) Rails Guides (Simplified Chinese version)

"Machine Learning Basics" machine learning Cornerstone Course Learning Introduction

What is machine learning?"Machine learning" is one of the core research fields of artificial intelligence, its initial research motive is to let the computer system have human learning ability to realize artificial intelligence.In fact, since "experience" is mainly in the fo

Two methods of machine learning--supervised learning and unsupervised learning (popular understanding) _ Machine Learning

Objective Machine learning is divided into: supervised learning, unsupervised learning, semi-supervised learning (can also be used Hinton said reinforcement learning) and so on. Here, the main understanding of supervision and unsu

Stanford Machine Learning---the eighth lecture. Support Vector Machine Svm_ machine learning

This column (Machine learning) includes single parameter linear regression, multiple parameter linear regression, Octave Tutorial, Logistic regression, regularization, neural network, machine learning system design, SVM (Support vector machines Support vector machine), clust

Stanford Machine Learning---The sixth week. Design of learning curve and machine learning system

sixth week. Design of learning curve and machine learning system Learning Curve and machine learning System Design Key Words Learning curve, deviation variance diagnosis method, error a

Machine learning-Hangyuan Li-Statistical Learning Method Learning Note perception Machine (2)

In machine learning-Hangyuan Li-The Perceptual Machine for learning notes (1) We already know the modeling of perceptron and its geometrical meaning. The relevant derivation is also explicitly deduced. Have a mathematical model. We are going to calculate the model.The purpose of perceptual

Machine learning how to choose Model & machine learning and data mining differences & deep learning Science

Today I saw in this article how to choose the model, feel very good, write here alone.More machine learning combat can read this article: http://www.cnblogs.com/charlesblc/p/6159187.htmlIn addition to the difference between machine learning and data mining,Refer to this article: https://www.zhihu.com/question/30557267D

Learning notes for "Machine Learning Practice": Implementation of k-Nearest Neighbor algorithms, and "Machine Learning Practice" k-

Learning notes for "Machine Learning Practice": Implementation of k-Nearest Neighbor algorithms, and "Machine Learning Practice" k- The main learning and research tasks of the last semester were pattern recognition, signal theor

Ruby Learning Notes

Fiber.yield, pause the execution of the program until the next call to Fiber#resume or the end of the program execution.Thread.Before 1.9, the multithreading of Ruby was implemented by the interpreter, and after 1.9, multithreading began to be implemented by the system. However, there is a problem, many Ruby extensions are not thread safe, so sometimes encounter problems, this need to pay more attention. T

Ruby learning methods, methods, books

Recently, to learn new projects, you need to learn new languages to complete tasks. This language is Ruby that has been heard but never learned and practiced, the previous visual image is often used in comparison with python. Of course, it is a little later than python. It draws on some things of Python and implements some features not available in Python. There is no direct comparability, but I still think python is easy to use. [Python's purpose is:

Machine learning and its application 2013, machine learning and its application 2015

Machine learning and its application 2013 content introduction BooksComputer BooksMachine learning is a very important area of research in computer science and artificial intelligence. In recent years, machine learning has not only been a great skill in many fields of comput

Stanford University public Class machine learning: Machines Learning System Design | Data for machine learning (the learning algorithm behaves better when the volume is large)

For the performance of four different algorithms in different size data, it can be seen that with the increase of data volume, the performance of the algorithm tends to be close. That is, no matter how bad the algorithm, the amount of data is very large, the algorithm can perform well.When the amount of data is large, the learning algorithm behaves better:Using a larger set of training (which means that it is impossible to fit), the variance will be l

Recommended! Machine Learning Resources compiled by programmers abroad)

Twitter-text-Rb-this library can automatically connect and extract user names, lists, and topic tags from Twitter. General Machine Learning Ruby machine learning-some machine learning

Machine Learning Resources overview [go]

handwriting Code for predicting Drug Molecular Activity competitions on kaggle Merck-kaggle (sponsored by Merck) Code used on kaggle stackoverflow-kaggle to predict whether a stack overflow website issue will be closed Wine-quality-predict the quality of red wine. Ruby Natural Language Processing Treat-Text Retrieval and annotation toolkit, the most comprehensive toolkit I have ever seen in ruby.

Image Classification | Deep Learning PK Traditional Machine learning _ machine learning

Original: Image classification in 5 Methodshttps://medium.com/towards-data-science/image-classification-in-5-methods-83742aeb3645 Image classification, as the name suggests, is an input image, output to the image content classification of the problem. It is the core of computer vision, which is widely used in practice. The traditional method of image classification is feature description and detection, such traditional methods may be effective for some simple image classification, but the tradit

Learning notes for "Machine Learning Practice": two application scenarios of k-Nearest Neighbor algorithms, and "Machine Learning Practice" k-

Learning notes for "Machine Learning Practice": two application scenarios of k-Nearest Neighbor algorithms, and "Machine Learning Practice" k- After learning the implementation of the k-Nearest Neighbor Algorithm, I tested the k-

"Reprint" Dr. Hangyuan Li's "Talking about my understanding of machine learning" machine learning and natural language processing

Dr. Hangyuan Li's "Talking about my understanding of machine learning" machine learning and natural language processing [Date: 2015-01-14] Source: Sina Weibo Hangyuan Li [Font: Big Small] Calculating time, from the beginning to the present, do m

Machine LEARNING-XVII. Large Scale machines Learning large machine learning (Week 10)

http://blog.csdn.net/pipisorry/article/details/44904649Machine learning machines Learning-andrew NG Courses Study notesLarge Scale machines Learning large machine learningLearning with Large datasets Big Data Set LearningStochastic Gradient descent random gradient descentMini-batch Gradient descent mini batch processin

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