machine learning libraries

25 Java machine learning tools and libraries It industry more and more fire, with more new troops to join the IT family, the proportion of Java is also more and more large, the following for everyone to organize a number of learning tools. 1. Weka integrates a machine

from:http://www.erogol.com/broad-view-machine-learning-libraries/Http://www.slideshare.net/VincenzoLomonaco/deep-learning-libraries-and-rst-experiments-with-theanoFebruary 6, EREN 1 COMMENT Especially, with the advent of many different and intricate

25 Java machine learning tools and libraries 1. Weka integrates Machine Learning Algorithms for data mining. These algorithms can be directly applied to a dataset or you can write code to call them. Weka includes a series of tools, such as data preprocessing, classification

Course Description:??The course style is easy to understand, real case actual cases. Carefully select the real data set as a case, through the Python Data Science library Numpy,pandas,matplot combined with the machine learning Library Scikit-learn to complete some of the column machine learning cases. The course is bas

://pypi.python.org/pypi/python-dateutil/1.4.1To the unzip directory, execute the Python setup.py install installation successfullyWell, now the stumbling block in front of us is importerror:matplotlib requires pyparsingThis directly under the. exe file is available. Https://sourceforge.net/projects/pyparsing/files/pyparsingFinally saw the import matplotlib no error ... Run a program to test it! Source code from http://my.oschina.net/bery/blog/203595 Import NumPy as Npimport matplotlib.pyplot as

/WWWCrowdDataset.htmlHuman Pose EstimationDeeppose:human Pose estimation via deep neural Networks, CVPR2014Https://github.com/mitmul/deeppose Not official implementationArticulated Pose estimation by a graphical Model with Image Dependent pairwise relations NIPS 2014Http://www.stat.ucla.edu/~xianjie.chen/projects/pose_estimation/pose_estimation.htmlLearning Human Pose estimation Features with convolutional NetworksHttps://github.com/stencilman/deep_nets_iclr04Flowing convnets for Human Pose esti

This is a creation in Article, where the information may have evolved or changed. Catalogue [−] Iris Data Set KNN k Nearest Neighbor algorithm Training data and Forecasts Evaluation Python Code implementation This series of articles describes how to use the Go language for data analysis and machine learning. Go Machine

The previous period of busy learning RF, the system after the study began to do a variety of interface testing, although all types of interface testing can run through the basic, but the problem of repeated car building is too obvious. RF itself built-in libraries are already rich, such as no need to import directly into the memory of the Builtin library, and the need to import the common module String,coll

[Introduction to machine learning] Li Hongyi Machine Learning notes-9 ("Hello World" of deep learning; exploring deep learning) PDF Video Keras Example application-handwriting Digit recognition Step 1

First contact with git, in order to remember deeply, the simple process of learning to record down.This article documents the installation, configuration, and process of creating a repository and adding files to a repository on Ubuntu. 1, git installation: (ubuntu-linux very friendly installation tips)[Email protected] 3385-mt:~git //See if Git installer "git" is not installed. You can install it using the following command:sudoinstall git[ema

IntroductionThe systematic learning machine learning course has benefited me a lot, and I think it is necessary to understand some basic problems, such as the category of machine learning algorithms.Why do you say that? I admit that, as a beginner, may not be in the early st

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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