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Python ML Tools Quickstart Guide

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The document provides an overview of various Python machine learning libraries and tools, including Orange, MDP, PyMC, PyML, hcluster, NLTK, mlpy, LIBSVM, PyEvolve, FANN, Theano, PyBrain, Shogun, ffnet. For each library, it gives information on the homepage, dependencies, installation/source options, key developers and details. It also discusses machine learning and Python in general terms, noting the large amount of activity but also varying documentation quality and lack of packaging.

Technologie
1  sur  58
Python and Machine Learning by Semen A. Trygubenko
Machine learning around us ,[object Object]
Spam filtering
Player ranking in online games
Vehicle stability systems
Computer vision (barcode, fingerprint and number plate readers)
Optimisation
Learning? Machine Learning? ,[object Object]
The act of remembering: data / experience
Generalisation, similarity and new inputs
Learning and flexibility: adaptation
Objective function game ,[object Object]
Classification: features, decision boundaries ,[object Object]
Semi-supervised learning
Evolutionary learning, fitness
Unsupervised
 
Everything is miscellaneous ,[object Object]
Graphical models
Artificial neural networks
Kernel methods
Dimensionality reduction
Optimisation
Interdisciplinary & as a branch of CS
ML is a vaaast field
ML Tools: Python ,[object Object]
FANN
Orange
PyMC
PyML
LIBSVM
PyBrain
ffnet ,[object Object]
Shogun toolbox
Theano
mlpy
Elefant
Bayes Blocks
Monte Python
hcluster ,[object Object]
Pycplex
pymorph
We need total coverage ...
Nothing about everything ,[object Object]
(1) assess how easy it is ,[object Object]
to get going with toy examples ,[object Object]
(3) Establish where the project is in its lifecycle
(4) Demo stuff that I think is cool
Testbed ,[object Object]
Ubuntu 10.04 ,[object Object],[object Object]
$make source ,[object Object]
Orange ,[object Object]
Visual programming framework + scriptable environment
Orange canvas: widgets and channels
Communication via tokens
Implements sampling, filtering, scaling, discretisation, regression, classification, clustering, scoring functions, SVMs
Orange ,[object Object]
AI lab, University of Ljubljana, Slovenia

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