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

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