• resouces


    ciml.info
    dl-ssl.google.com
    android sdk platform-tools 19.0.1
    scipy doc
    matplotlib doc
    scipy_lectures.github.com
    scikit-learn doc
    NumPy Beginner's Guide - Second Edition
    kaggle competition:description, data, code
    linges, dictionary
    evernote
    PRML读书会
    machine learning a probabilistic perspective
    machine learning博客, naive bayes, dcision trees, logistic regression, boosting, svm
    android sdk platform-tools 19.0.1
    nltk cookbook
    linear algebra and its applications
    http://www.kyb.mpg.de/fileadmin/user_upload/files/publications/pdfs/pdf2819.pdf
    An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
    Bayesian Data Analysis. 2nd ed
    practical data science with r
    probability for machine learning and statistics
    matrix algebra
    the art of r programming
    doing data science
    multi with r
    foundations of machine learning
    Andrw Ng's course
    www.inference.phy.cam.ac.uk/mackay/itila/book.html
    Convex Optimization
    Prediction with gaussian processes: from linear regression to linear prediction and beyond
    Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
    machine learning for hackers
    Statistical Analysis with R
    R Graphs Cookbook
    Learning Scipy for Numerical and Scientific Computing
    R in a Nutshell
    R for Everyone
    data manipulation with r
    Python for Data Analysis
    Bayesian Data Analysis
    Advanced Data Analysis from an Elementary Point of View
    Bayesian Reasoing and Machine Learning
    Foudations of Machine Learning
    Field Experiments
    Statistics for Experiments Design, Innovation, and Discovery
    The Elements of Graphing Data
    Visualize this:The Flowing Data Guide to Design, Visualization, and Statistics
    Data Analysis Using Regression and Multilevel/Hierarchical Models
    Introduction to Scientific Programming and Simulation Using R
    ggplot2: Elegant Graphics for Data Analysis
    R Data Analysis Examples

    Building Machine Learning Systems with Python
    Ch3: '20news' dataset from http://mlcomp.org/datasets/379
    Ch4: http://www.cs.princeton.edu/~blei/lda-c/ap.tgz
    http://dumps.wikimedia.org/enwiki/latest/enwiki-latest-pages-articles.xml.bz2
    Ch5: http://www.clearbits.net/get/2076-aug-2012.torrent
    https://archive.org/download/stackexchange/stackexchange_archive.torrent
    Ch6: http://sentiwordnet.isti.cnr.it
    Ch7: http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/regression/E2006.train.bz2
    http://www.grouplens.org/system/files/ml-100k.zip
    Ch8: http://fimi.ua.ac.be/data/retail.dat.gz
    Ch9: http://opihi.cs.uvic.ca/sound/genres.tar.gz
    http://sox.sourceforge.net
    https://pypi.python.org/pypi/scikits.talkbox
    Ch10:http://vision.stanford.edu/Datasets/AnimTransDistr.rar

    ipython
    gensim
    http://www.wordle.net
    http://dumps.wikimedia.org
    https://github.com/bartdag/pymining
    mahotas
    scikit-image(skimage)
    machine learning for hackers, code
    statistical learning with r, code
    machine learning with r
    https://github.com/oreillymedia/doing_data_science
    R:
    gmodels, wordcloud, tm, RWeka, RODBC, class, e1071, c50, psych, statis, rpart, plot,
    neuralnet, nnet, RSNNS, e1071, KlaR, Kernlab, caret, Apriori, arules, vcd, irr, ROCR,
    ipred, adabag, randomForest, RCurl, XML, rjson, xlsx, network, datatable, ff, ffbase,
    bigmemory, bigalgebra, biganalytics, bigtabulate, foreach, doParalle, multicore, snow,
    snowful, RHIPE, rmr, gputools

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  • 原文地址:https://www.cnblogs.com/cbkun/p/3813302.html
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