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Title: The Shape of Data | Exploring the geometry behind machine learning, data mining, etc.

Open Graph Title: The Shape of Data

Description: Exploring the geometry behind machine learning, data mining, etc.

Open Graph Description: Exploring the geometry behind machine learning, data mining, etc.

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The Shape of Datahttps://shapeofdata.wordpress.com/
https://shapeofdata.wordpress.com/
Skip to contenthttps://shapeofdata.wordpress.com#content
Homehttps://shapeofdata.wordpress.com/
Abouthttps://shapeofdata.wordpress.com/about/
Table of Contentshttps://shapeofdata.wordpress.com/introduction/
← Older postshttps://shapeofdata.wordpress.com/page/2/
Properties of Interpretabilityhttps://shapeofdata.wordpress.com/2016/12/05/properties-of-interpretability/
December 5, 2016https://shapeofdata.wordpress.com/2016/12/05/properties-of-interpretability/
Jesse Johnsonhttps://shapeofdata.wordpress.com/author/jessejohnson/
first posthttps://shapeofdata.wordpress.com/2016/10/26/interacting-with-ml-models/
second posthttps://shapeofdata.wordpress.com/2016/11/17/goals-of-interpretability/
Continue reading →https://shapeofdata.wordpress.com/2016/12/05/properties-of-interpretability/#more-2226
Interpretabilityhttps://shapeofdata.wordpress.com/category/interpretability/
1 Commenthttps://shapeofdata.wordpress.com/2016/12/05/properties-of-interpretability/#comments
Goals of Interpretabilityhttps://shapeofdata.wordpress.com/2016/11/17/goals-of-interpretability/
November 17, 2016https://shapeofdata.wordpress.com/2016/11/17/goals-of-interpretability/
Jesse Johnsonhttps://shapeofdata.wordpress.com/author/jessejohnson/
last posthttps://shapeofdata.wordpress.com/2016/10/26/interacting-with-ml-models/
Continue reading →https://shapeofdata.wordpress.com/2016/11/17/goals-of-interpretability/#more-2001
Interpretabilityhttps://shapeofdata.wordpress.com/category/interpretability/
Uncategorizedhttps://shapeofdata.wordpress.com/category/uncategorized/
3 Commentshttps://shapeofdata.wordpress.com/2016/11/17/goals-of-interpretability/#comments
Interacting with ML Modelshttps://shapeofdata.wordpress.com/2016/10/26/interacting-with-ml-models/
October 26, 2016https://shapeofdata.wordpress.com/2016/10/26/interacting-with-ml-models/
Jesse Johnsonhttps://shapeofdata.wordpress.com/author/jessejohnson/
Continue reading →https://shapeofdata.wordpress.com/2016/10/26/interacting-with-ml-models/#more-1754
Interpretabilityhttps://shapeofdata.wordpress.com/category/interpretability/
7 Commentshttps://shapeofdata.wordpress.com/2016/10/26/interacting-with-ml-models/#comments
LSTMshttps://shapeofdata.wordpress.com/2016/06/04/lstms/
June 4, 2016https://shapeofdata.wordpress.com/2016/06/04/lstms/
Jesse Johnsonhttps://shapeofdata.wordpress.com/author/jessejohnson/
Recurrent Neural Networkshttps://shapeofdata.wordpress.com/2015/10/20/recurrent-neural-networks/
unrollinghttps://shapeofdata.wordpress.com/2016/04/27/rolling-and-unrolling-rnns/
Continue reading →https://shapeofdata.wordpress.com/2016/06/04/lstms/#more-1485
Neural Networkshttps://shapeofdata.wordpress.com/category/neural-networks/
5 Commentshttps://shapeofdata.wordpress.com/2016/06/04/lstms/#comments
Rolling and Unrolling RNNshttps://shapeofdata.wordpress.com/2016/04/27/rolling-and-unrolling-rnns/
April 27, 2016https://shapeofdata.wordpress.com/2016/04/27/rolling-and-unrolling-rnns/
Jesse Johnsonhttps://shapeofdata.wordpress.com/author/jessejohnson/
Recurrent Neural Networkshttps://shapeofdata.wordpress.com/2015/10/20/recurrent-neural-networks/
artificial neural networkhttps://shapeofdata.wordpress.com/2013/06/11/neural-networks-1-the-neuron/
Continue reading →https://shapeofdata.wordpress.com/2016/04/27/rolling-and-unrolling-rnns/#more-1286
Uncategorizedhttps://shapeofdata.wordpress.com/category/uncategorized/
4 Commentshttps://shapeofdata.wordpress.com/2016/04/27/rolling-and-unrolling-rnns/#comments
Continuous Bayes’ Theoremhttps://shapeofdata.wordpress.com/2016/01/20/continuous-bayes-theorem/
January 20, 2016https://shapeofdata.wordpress.com/2016/01/20/continuous-bayes-theorem/
Jesse Johnsonhttps://shapeofdata.wordpress.com/author/jessejohnson/
Continue reading →https://shapeofdata.wordpress.com/2016/01/20/continuous-bayes-theorem/#more-1249
Modelinghttps://shapeofdata.wordpress.com/category/modeling/
2 Commentshttps://shapeofdata.wordpress.com/2016/01/20/continuous-bayes-theorem/#comments
The TensorFlow perspective on neural networkshttps://shapeofdata.wordpress.com/2015/11/30/the-tensorflow-perspective-on-neural-networks/
November 30, 2015https://shapeofdata.wordpress.com/2015/11/30/the-tensorflow-perspective-on-neural-networks/
Jesse Johnsonhttps://shapeofdata.wordpress.com/author/jessejohnson/
TensorFlowhttp://www.tensorflow.org/
last posthttps://shapeofdata.wordpress.com/2015/11/09/neural-networks-linear-transformations-and-word-embeddings/
Continue reading →https://shapeofdata.wordpress.com/2015/11/30/the-tensorflow-perspective-on-neural-networks/#more-1235
Neural Networkshttps://shapeofdata.wordpress.com/category/neural-networks/
2 Commentshttps://shapeofdata.wordpress.com/2015/11/30/the-tensorflow-perspective-on-neural-networks/#comments
Neural networks, linear transformations and word embeddingshttps://shapeofdata.wordpress.com/2015/11/09/neural-networks-linear-transformations-and-word-embeddings/
November 9, 2015https://shapeofdata.wordpress.com/2015/11/09/neural-networks-linear-transformations-and-word-embeddings/
Jesse Johnsonhttps://shapeofdata.wordpress.com/author/jessejohnson/
neural networkshttps://shapeofdata.wordpress.com/2013/06/11/neural-networks-1-the-neuron/
combineshttps://shapeofdata.wordpress.com/2013/06/18/neural-networks-2-evaluation/
word2vechttps://code.google.com/p/word2vec/
Continue reading →https://shapeofdata.wordpress.com/2015/11/09/neural-networks-linear-transformations-and-word-embeddings/#more-1220
Neural Networkshttps://shapeofdata.wordpress.com/category/neural-networks/
10 Commentshttps://shapeofdata.wordpress.com/2015/11/09/neural-networks-linear-transformations-and-word-embeddings/#comments
Recurrent Neural Networkshttps://shapeofdata.wordpress.com/2015/10/20/recurrent-neural-networks/
October 20, 2015https://shapeofdata.wordpress.com/2015/10/20/recurrent-neural-networks/
Jesse Johnsonhttps://shapeofdata.wordpress.com/author/jessejohnson/
bag-of-wordshttps://shapeofdata.wordpress.com/2013/10/23/case-study-3-free-form-text/
Continue reading →https://shapeofdata.wordpress.com/2015/10/20/recurrent-neural-networks/#more-1205
Neural Networkshttps://shapeofdata.wordpress.com/category/neural-networks/
7 Commentshttps://shapeofdata.wordpress.com/2015/10/20/recurrent-neural-networks/#comments
GPUs and Neural Networkshttps://shapeofdata.wordpress.com/2015/07/14/gpus-and-neural-networks/
July 14, 2015https://shapeofdata.wordpress.com/2015/07/14/gpus-and-neural-networks/
Jesse Johnsonhttps://shapeofdata.wordpress.com/author/jessejohnson/
Artificial neural networkshttps://shapeofdata.wordpress.com/2013/06/11/neural-networks-1-the-neuron/
convolutional neural networkshttps://shapeofdata.wordpress.com/2015/01/24/convolutional-neural-networks/
Moore’s lawhttps://en.wikipedia.org/wiki/Moore%27s_law
CPUhttps://en.wikipedia.org/wiki/Central_processing_unit
Continue reading →https://shapeofdata.wordpress.com/2015/07/14/gpus-and-neural-networks/#more-1188
Neural Networkshttps://shapeofdata.wordpress.com/category/neural-networks/
11 Commentshttps://shapeofdata.wordpress.com/2015/07/14/gpus-and-neural-networks/#comments
← Older postshttps://shapeofdata.wordpress.com/page/2/
Properties of Interpretabilityhttps://shapeofdata.wordpress.com/2016/12/05/properties-of-interpretability/
Goals of Interpretabilityhttps://shapeofdata.wordpress.com/2016/11/17/goals-of-interpretability/
Interacting with ML Modelshttps://shapeofdata.wordpress.com/2016/10/26/interacting-with-ml-models/
LSTMshttps://shapeofdata.wordpress.com/2016/06/04/lstms/
Rolling and Unrolling RNNshttps://shapeofdata.wordpress.com/2016/04/27/rolling-and-unrolling-rnns/
Configuration Spaces and the M…https://shapeofdata.wordpress.com/2014/01/28/configuration-spaces-and-the-meaning-of-probability/comment-page-1/#comment-25479
https://www.melrivera.com/
Melhttps://www.melrivera.com/
Recurrent Neural Networkshttps://shapeofdata.wordpress.com/2015/10/20/recurrent-neural-networks/comment-page-1/#comment-25477
https://infortrabajo.com/teradata-expands-capabilities-for-data-lakes-with-apache-spark/
Teradata Expands Cap…https://infortrabajo.com/teradata-expands-capabilities-for-data-lakes-with-apache-spark/
K-modeshttps://shapeofdata.wordpress.com/2014/03/04/k-modes/comment-page-1/#comment-25432
https://thebestentrepreneurship.com/teradata-expands-capabilities-for-knowledge-lakes-with-apache-spark/
Teradata Expands Cap…https://thebestentrepreneurship.com/teradata-expands-capabilities-for-knowledge-lakes-with-apache-spark/
K-modeshttps://shapeofdata.wordpress.com/2014/03/04/k-modes/comment-page-1/#comment-25369
https://taj.ma/quest-ce-quun-graphe-de-reseau/
Qu'est-ce qu…https://taj.ma/quest-ce-quun-graphe-de-reseau/
Graphs and networkshttps://shapeofdata.wordpress.com/2013/08/13/graphs-and-networks/comment-page-1/#comment-25351
December 2016https://shapeofdata.wordpress.com/2016/12/
November 2016https://shapeofdata.wordpress.com/2016/11/
October 2016https://shapeofdata.wordpress.com/2016/10/
June 2016https://shapeofdata.wordpress.com/2016/06/
April 2016https://shapeofdata.wordpress.com/2016/04/
January 2016https://shapeofdata.wordpress.com/2016/01/
November 2015https://shapeofdata.wordpress.com/2015/11/
October 2015https://shapeofdata.wordpress.com/2015/10/
July 2015https://shapeofdata.wordpress.com/2015/07/
June 2015https://shapeofdata.wordpress.com/2015/06/
May 2015https://shapeofdata.wordpress.com/2015/05/
January 2015https://shapeofdata.wordpress.com/2015/01/
September 2014https://shapeofdata.wordpress.com/2014/09/
June 2014https://shapeofdata.wordpress.com/2014/06/
May 2014https://shapeofdata.wordpress.com/2014/05/
March 2014https://shapeofdata.wordpress.com/2014/03/
February 2014https://shapeofdata.wordpress.com/2014/02/
January 2014https://shapeofdata.wordpress.com/2014/01/
December 2013https://shapeofdata.wordpress.com/2013/12/
October 2013https://shapeofdata.wordpress.com/2013/10/
September 2013https://shapeofdata.wordpress.com/2013/09/
August 2013https://shapeofdata.wordpress.com/2013/08/
July 2013https://shapeofdata.wordpress.com/2013/07/
June 2013https://shapeofdata.wordpress.com/2013/06/
May 2013https://shapeofdata.wordpress.com/2013/05/
April 2013https://shapeofdata.wordpress.com/2013/04/
March 2013https://shapeofdata.wordpress.com/2013/03/
Classificationhttps://shapeofdata.wordpress.com/category/classification/
Clusteringhttps://shapeofdata.wordpress.com/category/clustering/
Distributed learninghttps://shapeofdata.wordpress.com/category/distributed-learning/
Feature extractionhttps://shapeofdata.wordpress.com/category/feature-extraction/
Fundamentalshttps://shapeofdata.wordpress.com/category/fundamentals/
Interpretabilityhttps://shapeofdata.wordpress.com/category/interpretability/
Introductionhttps://shapeofdata.wordpress.com/category/introduction/
Modelinghttps://shapeofdata.wordpress.com/category/modeling/
Neural Networkshttps://shapeofdata.wordpress.com/category/neural-networks/
Normalization/Kernelshttps://shapeofdata.wordpress.com/category/normalizationkernels/
Regressionhttps://shapeofdata.wordpress.com/category/regression/
Software engineeringhttps://shapeofdata.wordpress.com/category/software-engineering/
Uncategorizedhttps://shapeofdata.wordpress.com/category/uncategorized/
Unsupervised learninghttps://shapeofdata.wordpress.com/category/unsupervised-learning/
Visualizationhttps://shapeofdata.wordpress.com/category/visualization/
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