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Regression towards mediocrity in hereditary staturehttp://www.jstor.org/stable/2841583
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#links
https://www.python.orghttps://www.python.org
https://docs.python.org/3/installing/index.htmlhttps://docs.python.org/3/installing/index.html
https://store.continuum.io/cshop/anaconda/https://store.continuum.io/cshop/anaconda/
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https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#literature-1
A logical calculus of the ideas immanent in nervous activityhttp://link.springer.com/article/10.1007/BF02459570
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#links-1
http://wiki.scipy.org/Tentative_NumPy_Tutorialhttp://wiki.scipy.org/Tentative_NumPy_Tutorial
http://pandas.pydata.org/pandas-docs/stable/tutorials.htmlhttp://pandas.pydata.org/pandas-docs/stable/tutorials.html
http://matplotlib.org/users/beginner.htmlhttp://matplotlib.org/users/beginner.html
https://ipython.org/ipython-doc/3/notebook/index.htmlhttps://ipython.org/ipython-doc/3/notebook/index.html
http://www.netlib.org/blas/http://www.netlib.org/blas/
http://www.netlib.org/lapack/http://www.netlib.org/lapack/
http://archive.ics.uci.edu/ml/http://archive.ics.uci.edu/ml/
https://archive.ics.uci.edu/ml/datasets/Irishttps://archive.ics.uci.edu/ml/datasets/Iris
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#additional-resources--further-reading-1
Linear algebra review and referencehttp://www.cs.cmu.edu/~zkolter/course/linalg/linalg_notes.pdf
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#chapter-3-a-tour-of-advanced-machine-learning-classifiers-using-scikit-learn
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#literature-2
No free lunch theorems for optimizationhttp://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=585893&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D585893
The supervised learning no-free-lunch theoremshttp://link.springer.com/chapter/10.1007/978-1-4471-0123-9_3#page-1
Logistic regression: From introductory to advanced concepts and applicationshttps://books.google.com/books?hl=en&lr=&id=JSJzAwAAQBAJ&oi=fnd&pg=PP1&dq=Logistic+regression:+From+introductory+to+advanced+concepts+and+applications&ots=u7tB-9qcZT&sig=FiW0ejcCYxrne--73Vs5giobJZ0
The nature of statistical learning theoryhttps://books.google.com/books?hl=en&lr=&id=EqgACAAAQBAJ&oi=fnd&pg=PR7&dq=The+nature+of+statistical+learning+theory&ots=g2HZeBcX50&sig=dettzMHf6X1pLD-JMlvhpNQpaws#v=onepage&q=The%20nature%20of%20statistical%20learning%20theory&f=false
A tutorial on support vector machines for pattern recognitionhttp://link.springer.com/article/10.1023/A:1009715923555
An algorithm for finding best matches in logarithmic expected timehttp://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.319.4027
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#links-2
http://scikit-learn.org/stable/http://scikit-learn.org/stable/
http://www.csie.ntu.edu.tw/~cjlin/liblinear/http://www.csie.ntu.edu.tw/~cjlin/liblinear/
https://www.csie.ntu.edu.tw/~cjlin/libsvm/https://www.csie.ntu.edu.tw/~cjlin/libsvm/
http://www.graphviz.orghttp://www.graphviz.org
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#additional-resources--further-reading-2
Random forestshttp://link.springer.com/article/10.1023/A:1010933404324
k-nearest neighbour classifiershttp://www.researchgate.net/profile/Sarah_Delany/publication/228686398_k-Nearest_neighbour_classifiers/links/0fcfd50d0c1d1f41ad000000.pdf
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#chapter-4-building-good-training-sets--data-pre-processing
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#literature-3
The Elements of Statistical Learninghttp://statweb.stanford.edu/~tibs/ElemStatLearn/
Comparative study of techniques for large-scale feature selectionhttps://books.google.com/books?hl=en&lr=&id=sbajBQAAQBAJ&oi=fnd&pg=PA403&dq=Comparative+Study+of+Techniques+for+Large+Scale+Feature+Selection&ots=KdHKVsEatk&sig=PS_jPNFzSYPvFuhfXabBZxqt6UM#v=onepage&q=Comparative%20Study%20of%20Techniques%20for%20Large%20Scale%20Feature%20Selection&f=false
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#links-3
https://archive.ics.uci.edu/ml/datasets/Winehttps://archive.ics.uci.edu/ml/datasets/Wine
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#additional-resources--further-reading-3
https://en.wikipedia.org/wiki/One-hothttps://en.wikipedia.org/wiki/One-hot
L1-regularization path algorithm for generalized linear modelshttp://onlinelibrary.wiley.com/doi/10.1111/j.1467-9868.2007.00607.x/abstract;jsessionid=315EA2A9E59E2A7E79041A04F4FE065D.f02t01?userIsAuthenticated=false&deniedAccessCustomisedMessage=
Feature selection, L1 vs. L2 regularization, and rotational invariancehttp://dl.acm.org/citation.cfm?id=1015435
A comparative evaluation of sequential feature selection algorithmshttp://link.springer.com/chapter/10.1007/978-1-4612-2404-4_19#page-1
Bias in random forest variable importance measures: Illustrations, sources and a solutionhttp://www.biomedcentral.com/1471-2105/8/25
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#chapter-5-compressing-data-via-different-dimensionality-reductiontechniques
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#literature-4
The use of multiple measurements in taxonomic problemshttp://onlinelibrary.wiley.com/store/10.1111/j.1469-1809.1936.tb02137.x/asset/j.1469-1809.1936.tb02137.x.pdf?v=1&t=idj76237&s=91cde2700c80c8e9db3270f122008a4629fe8887
The utilization of multiple measurements in problems of biological classificationhttp://www.jstor.org/stable/2983775
PCA versus LDAhttp://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=908974&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D908974
Pattern classificationhttp://www.wiley.com/WileyCDA/WileyTitle/productCd-0471056693.html
Kernel principal component analysishttp://link.springer.com/chapter/10.1007/BFb0020217
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#links-4
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#additional-resources--further-reading-4
Principal component analysishttp://onlinelibrary.wiley.com/doi/10.1002/9781118445112.stat06472/abstract?userIsAuthenticated=false&deniedAccessCustomisedMessage=
https://en.wikipedia.org/wiki/Nonlinear_dimensionality_reduction#Manifold_learning_algorithmshttps://en.wikipedia.org/wiki/Nonlinear_dimensionality_reduction#Manifold_learning_algorithms
Kernel methods for pattern analysishttps://books.google.com/books?hl=en&lr=&id=9i0vg12lti4C&oi=fnd&pg=PR8&dq=Kernel+Methods+for+Pattern+Analysis&ots=okAEjd1H3R&sig=hNqlaqWsF4YB_2O4PWl1AjveplY#v=onepage&q=Kernel%20Methods%20for%20Pattern%20Analysis&f=false
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https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#literature-5
A study of cross-validation and bootstrap for accuracy estimation and model selectionhttp://frostiebek.free.fr/docs/Machine%20Learning/validation-1.pdf
Analysis of variance of cross-validation estimators of the generalization errorhttp://academiccommons.columbia.edu/catalog/ac:173902
Improvements on cross-validation: the 632+ bootstrap methodhttp://www.stat.washington.edu/courses/stat527/s13/readings/EfronTibshirani_JASA_1997.pdf
Bias in error estimation when using cross-validation for model selectionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC1397873/
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#links-5
https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#additional-resources--further-reading-5
No unbiased estimator of the variance of k-fold cross-validationhttp://dl.acm.org/citation.cfm?id=1044695
An overview of general performance metrics of binary classifier systemshttp://arxiv.org/pdf/1410.5330.pdf
The meaning and use of the area under a receiver operating characteristic (roc) curvehttp://pubs.rsna.org/doi/abs/10.1148/radiology.143.1.7063747
The relationship between precision-recall and roc curveshttp://dl.acm.org/citation.cfm?id=1143874
Random search for hyper-parameter optimizationhttp://jmlr.csail.mit.edu/papers/volume13/bergstra12a/bergstra12a.pdf
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#chapter-7-combining-different-models-for-ensemble-learning
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#literature-6
Stacked generalizationhttp://www.sciencedirect.com/science/article/pii/S0893608005800231
Bagging predictorshttp://link.springer.com/article/10.1007/BF00058655#page-1
The strength of weak learnabilityhttp://link.springer.com/article/10.1007/BF00116037
Experiments with a new boosting algorithmhttp://www.public.asu.edu/~jye02/CLASSES/Fall-2005/PAPERS/boosting-icml.pdf
Bias, variance, and arcing classifiershttp://oz.berkeley.edu/~breiman/arcall96.pdf
An improvement of adaboost to avoid overfittinghttp://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.9074
The bigchaos solution to the netflix grand prizehttp://www.stat.osu.edu/~dmsl/GrandPrize2009_BPC_BigChaos.pdf
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#links-6
http://techblog.netflix.com/2012/04/netflix-recommendations-beyond-5-stars.htmlhttp://techblog.netflix.com/2012/04/netflix-recommendations-beyond-5-stars.html
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#additional-resources--further-reading-6
Issues in stacked generalizationhttp://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.1519
Stochastic gradient boostinghttp://www.sciencedirect.com/science/article/pii/S0167947301000652
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#chapter-8-applying-machine-learning-to-sentiment-analysis
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#literature-7
Learning word vectors for sentiment analysishttp://dl.acm.org/citation.cfm?id=2002491
Words versus character n-grams for anti-spam filteringhttp://www.worldscientific.com/doi/abs/10.1142/S0218213007003692
Naive bayes and text classification I - introduction and theoryhttp://arxiv.org/pdf/1410.5329.pdf
Natural language processing with Pythonhttp://www.nltk.org/book/
An algorithm for suffix strippinghttp://www.emeraldinsight.com/doi/abs/10.1108/eb046814
Influence of word normalization on text classificationhttp://repository.essex.ac.uk/4019/
murmurhash3https://sites.google.com/site/murmurhash/
Efficient estimation of word representations in vector spacehttp://arxiv.org/abs/1301.3781
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#links-7
http://ai.stanford.edu/~amaas/data/sentiment/http://ai.stanford.edu/~amaas/data/sentiment/
https://developers.google.com/edu/python/regular-expressionshttps://developers.google.com/edu/python/regular-expressions
http://www.nltk.orghttp://www.nltk.org
https://code.google.com/p/word2vec/https://code.google.com/p/word2vec/
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#additional-resources--further-reading-7
An information-theoretic perspective of tf–idf measureshttp://www.sciencedirect.com/science/article/pii/S0306457302000213
A language for stemming algorithmshttp://snowball.tartarus.org/texts/introduction.html
Method for evaluation of stemming algorithms based on error countinghttp://link.springer.com/article/10.3103/S0005105509060041
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#chapter-9-embedding-a-machine-learning-model-into-a-web-application
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#literature-8
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#links-8
http://flask.pocoo.orghttp://flask.pocoo.org
http://www.sqlite.orghttp://www.sqlite.org
https://addons.mozilla.org/en-US/firefox/addon/sqlite-manager/https://addons.mozilla.org/en-US/firefox/addon/sqlite-manager/
https://wtforms.readthedocs.org/en/latest/https://wtforms.readthedocs.org/en/latest/
http://jinja.pocoo.orghttp://jinja.pocoo.org
http://raschkas.pythonanywhere.comhttp://raschkas.pythonanywhere.com
https://www.pythonanywhere.comhttps://www.pythonanywhere.com
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#additional-resources--further-reading-8
http://www.w3schools.com/tags/ref_httpmethods.asphttp://www.w3schools.com/tags/ref_httpmethods.asp
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#chapter-10-predicting-continuous-target-variables-with-regression-analysis
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#literature-9
Introduction to linear regression analysishttp://onlinelibrary.wiley.com/doi/10.1111/insr.12020_10/abstract
The Classical Linear Regression Modelhttp://www.le.ac.uk/users/dsgp1/COURSES/MESOMET/ECMETXT/06mesmet.pdf
Automatic estimation of the inlier threshold in robust multiple structures fittinghttp://link.springer.com/chapter/10.1007/978-3-642-04146-4_15
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#links-9
https://archive.ics.uci.edu/ml/datasets/Housinghttps://archive.ics.uci.edu/ml/datasets/Housing
http://stanford.edu/~mwaskom/software/seaborn/http://stanford.edu/~mwaskom/software/seaborn/
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#additional-resources--further-reading-9
Exploratory data analysishttp://xa.yimg.com/kq/groups/16412409/1159714453/name/exploratorydataanalysis.pdf
A concordance correlation coefficient to evaluate reproducibilityhttp://www.jstor.org/stable/2532051?seq=1#page_scan_tab_contents
A note on a general definition of the coefficient of determinationhttp://www.cesarzamudio.com/uploads/1/7/9/1/17916581/nagelkerke_n.j.d._1991_-_a_note_on_a_general_definition_of_the_coefficient_of_determination.pdf
Robust regression methods for computer vision: A reviewhttp://link.springer.com/article/10.1007/BF00127126
Ridge regression: Biased estimation for nonorthogonal problemshttp://amstat.tandfonline.com/doi/abs/10.1080/00401706.1970.10488634
Regression shrinkage and selection via the lassohttp://www.jstor.org/stable/2346178
Understanding random forests: From theory to practicehttp://arxiv.org/abs/1407.7502
Understanding variable importances in forests of randomized treeshttp://papers.nips.cc/paper/4928-understanding-variable-importances-in-forests-of-randomized-trees
Support vector machines for classification and regressionhttp://ce.sharif.ir/courses/85-86/2/ce725/resources/root/LECTURES/SVM.pdf
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#chapter-11-working-with-unlabeled-data--clustering-analysis-
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#literature-10
k-means++: The advantages of careful seedinghttp://dl.acm.org/citation.cfm?id=1283494
A fuzzy relative of the isodata process and its use in detecting compact well-separated clustershttp://www.tandfonline.com/doi/abs/10.1080/01969727308546046#.VdUUQnhh1AY
Pattern recognition with fuzzy objective function algorithmshttps://books.google.com/books?hl=en&lr=&id=z6XqBwAAQBAJ&oi=fnd&pg=PR14&dq=Pattern+recognition+with+fuzzy+objective+function+algorithms&ots=0g_HoTDhDo&sig=LWYQJJL8usKeVvPY_q1DLnJ4P70#v=onepage&q=Pattern%20recognition%20with%20fuzzy%20objective%20function%20algorithms&f=false
Comparative analysis of k-means and fuzzy c-means algorithmshttp://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.403.7600&rep=rep1&type=pdf
A density-based algorithm for discovering clusters in large spatial databases with noisehttp://www.aaai.org/Papers/KDD/1996/KDD96-037
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#links-10
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#additional-resources--further-reading-10
Extensions to the k-means algorithm for clustering large data sets with categorical valueshttp://link.springer.com/article/10.1023/A:1009769707641
K-means clustering via principal component analysishttp://dl.acm.org/citation.cfm?id=1015408
Yinyang k-means: A drop-in replacement of the classic k-means with consistent speeduphttp://machinelearning.wustl.edu/mlpapers/paper_files/icml2015_ding15.pdf
a graphical aid to the interpretation and validation of cluster analysishttp://www.sciencedirect.com/science/article/pii/0377042787901257
The gap test: an optimal method for determining the number of natural classes in cluster analysishttp://link.springer.com/chapter/10.1007/978-3-642-51175-2_21
Hierarchical clustering schemeshttp://link.springer.com/article/10.1007/BF02289588
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#chapter-12-training-artificial-neural-networks-for-image-recognition
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#literature-11
Learning representations by back-propagating errorshttp://lia.disi.unibo.it/Courses/SistInt/articoli/nnet1.pdf
Closing the gap to human-level performance in face verificationhttp://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6909616&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6909616
Scaling up end-to-end speech recognitionhttp://arxiv.org/pdf/1412.5567.pdf
Toxicity prediction using deep learninghttp://arxiv.org/pdf/1412.5567.pdf
The Elements of Statistical Learninghttp://statweb.stanford.edu/~tibs/ElemStatLearn/
Gradient-based learning applied to document recognitionhttp://yann.lecun.com/exdb/publis/pdf/lecun-98.pdf
Automatic differentiation of algorithms for machine learninghttp://arxiv.org/pdf/1404.7456v1.pdf
Learning deep architectures for AIhttp://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf
Best practices for convolutional neural networks applied to visual document analysishttp://www.computer.org/csdl/proceedings/icdar/2003/1960/02/196020958.pdf
Long short-term memoryhttp://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6795963&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6795963
Neural networks for pattern recognitionhttps://books.google.com/books?hl=en&lr=&id=T0S0BgAAQBAJ&oi=fnd&pg=PP1&dq=Neural+networks+for+pattern+recognition&ots=jL6TqGbBld&sig=fiLrMg-RJx22cgQ7zd2CiwUqNqI#v=onepage&q=Neural%20networks%20for%20pattern%20recognition&f=false
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#links-11
http://googleresearch.blogspot.com/2015/07/how-google-translate-squeezes-deep.htmlhttp://googleresearch.blogspot.com/2015/07/how-google-translate-squeezes-deep.html
https://en.wikipedia.org/wiki/Endiannesshttps://en.wikipedia.org/wiki/Endianness
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#additional-resources--further-reading-11
https://en.wikipedia.org/wiki/Automatic_differentiationhttps://en.wikipedia.org/wiki/Automatic_differentiation
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#chapter-13-parallelizing-neural-network-training-with-theano
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#literature-12
A cpu and gpu math compiler in pythonhttps://projects.scipy.org/scipy2010/slides/james_bergstra_theano.pdf
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#links-12
http://lisa.iro.umontreal.cahttp://lisa.iro.umontreal.ca
http://deeplearning.net/software/theano/http://deeplearning.net/software/theano/
http://deeplearning.net/software/pylearn2/http://deeplearning.net/software/pylearn2/
https://lasagne.readthedocs.org/en/latest/https://lasagne.readthedocs.org/en/latest/
http://keras.iohttp://keras.io
http://www.sympy.org/en/index.htmlhttp://www.sympy.org/en/index.html
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#people
http://www.cs.toronto.edu/~hinton/http://www.cs.toronto.edu/~hinton/
http://www.andrewng.orghttp://www.andrewng.org
http://yann.lecun.comhttp://yann.lecun.com
http://people.idsia.ch/~juergen/http://people.idsia.ch/~juergen/
http://www.iro.umontreal.ca/~bengioyhttp://www.iro.umontreal.ca/~bengioy
https://github.com/ResByte/python-machine-learning-book/blob/master/docs/references.md#additional-resources--further-reading-12
https://en.wikipedia.org/wiki/Symbolic_computationhttps://en.wikipedia.org/wiki/Symbolic_computation
http://floating-point-gui.dehttp://floating-point-gui.de
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