Machine learning scripts download

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machine learning script overview « 1 - 30 » of 21 scripts

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... and enable under Administer ... and enable under Administer ...

... This web development blog features fresh articles for web technologies with topics from SOLR, PHP, Franeworks, SQL, ... Ruby, Machine Learning, Scaling, Computing Cloud, and more... ...

... method for integrating the learning of all users spam that wasn ... using imap and sa-learn, however all ... the imap server were located on the same machine. If ... large network, you will most likely have your MTA/Virus/Spam functions on separate servers from the users mail ...

... now even manage complete websites.Most important functions of vBulletin:GENERAL FEATURES ... Events Management• Polls ... Single Admin Control Panel ... Member Management:• Multi-user system with unlimited roles and permissions ...

... or random generated graphs, find shortest paths, and can write graphs to ... Pajek files for visualization. Most important functions of APGL:• Write to Pajek, and simple CSV files ... Some machine learning features ... preprocessing, kernels, wrappers for LibSVM, and some mlpy learning algorithms ...

... multiplatform GUI installer designed to be completely cross-platform and function on ... lets you take control of everything in your installer, but with ... very shallow learning curve, you can have an installer up and running in just minutes ... InstallJammer installers are native binaries that can run on Windows ...

... This application is an open-source machine learning program for supervised classification of patterns ... parametric classifiers (linear and quadratic ... classification The program supports interactive and batch processing. Commands are issued through ... keyboard-driven menu system in the interactive mode, or in ...

... modular neural network kit written in pure Ruby. It is being developed with the intention of ... helping the Ruby community solve various machine learning and statistical computing problems. ...

... The Prediction API enables access to Google ... historic data and predict likely future outcomes.It provides methods for various tasks like authentication, prediction tokens, status ...

... purpose is to find and display to ... in real time the most interesting conversations and memes within the community as they emerge. Memetrackers seeks ... the memetracker and machinelearningapi modules, download and install Python Numeric and Pycluster. ... Python Numeric is ...

... The FreeLing package consists of ... library providing language analysis services. FreeLing is designed to be used as an external ... basic interface to the library, which enables the user to analyze text files ... from the command line. The named entity classification module requires some essential Machine Learning services such ...

... compatible operating systems, but as well as under Windows.Smalltalk is ... to scripting tasks.Unlike many other languages, learning the Smalltalk programming language is easy because there are just ... cool and revolutionary ideas were conceived from the Smalltalk community, including the very idea of window-based, graphical ...

... NLTK, the Natural Language Toolkit, is ... of program modules, data sets and tutorials supporting research and teaching in computational linguistics and natural language ... processing. NLTK is ideally suited to students who are learning ... NLP (natural language processing ...

... PyML is an interactive object oriented framework for machine learning in Python. PyML has been tested on Linux ... nearest neighbor classifiers, ridge regression ... Feature selection (filter methods, RFE, multiplicative update ...

... The ability to create network-aware applications opens ... world for software developers. In the past, most applications performed their designated task by utilizing the resources ... available on the local machine. Today, many applications benefit from being more cooperative, by communicating with ...

... self-contained, cross-platform, package for computing mutual information, joint ... conditional probability, entropy, and more. This package has also been used for general machine learning ... and data mining purposes such as feature selection, Bayesian network construction, signal processing, etc.Another related package ... for minimal redundancy feature selection is also available at the Matlab Central exchange ...

... In some tasks matrix inputs occur naturally. In this package you will ... linear combination of sine functions, in each activation function ... function is done by gradient descent with inertia or extreme learning machine approach. This model is ... MATLAB Release: R2006a ...

... scalable and open-source content-based spam filter designed for multi-user enterprise systems. For developers, ... the DSPAM core engine (libdspam) can be easily incorporated directly into applications for ... drop-in filtering.DSPAM has been implemented on many large and small ... or planned for use in multiple commercial solutions. DSPAM is an adaptive filter which means it is ...

... It aims at making computer vision more easy and structured and Matlab-free.pycvf may also ... be used for other artistic and scientific areas.The framework itself uses ... lot of concepts like datatypes, models, nodes, machine learning models and more to enhance performance and provide ... large and easy access to resources. Most important functions of pycvf ...

... text parsing, numerical optimization, data structures, linear algebra, machine learning or Bayesian nets. Most important functions of dlib ... type-safe object to convert between big and little endian byte ... An object that can perform base64 conversions ... Many memory manager objects that implement different memory pooling strategies Documentation ...

... collection of Java-based NLP tools for pos-tagging, sentence detection, tokenization, chunking and parsing, named-entity detection, and co-reference. ... All is done using the OpenNLP Maxent machine learning toolkit.The goal of the OpenNLP project will be ... mature toolkit for the abovementioned tasks.An additional goal is to provide ... large number of pre-built models for ...

Scripting machine learning programming is written in computer programming languages that is typically interpreted and can be typed directly from a keyboard. Machine learning scripts are often distinguished from executable files. This machine learning scripts are safe to use virus free and spyware free.