<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Tags on DataScience.LA</title><link>https://datasciencela.github.io/tags/</link><description>Recent content in Tags on DataScience.LA</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>DataScience.LA, 2014–2021 · Read-only archive: comments are closed.</copyright><lastBuildDate>Thu, 13 Oct 2022 00:02:42 -0700</lastBuildDate><atom:link href="https://datasciencela.github.io/tags/index.xml" rel="self" type="application/rss+xml"/><item><title>data science</title><link>https://datasciencela.github.io/tag/data-science-2/</link><pubDate>Mon, 28 Jan 2019 01:25:06 -0800</pubDate><guid>https://datasciencela.github.io/tag/data-science-2/</guid><description/></item><item><title>machine learning</title><link>https://datasciencela.github.io/tag/machine-learning/</link><pubDate>Mon, 28 Jan 2019 01:25:06 -0800</pubDate><guid>https://datasciencela.github.io/tag/machine-learning/</guid><description/></item><item><title>meetups</title><link>https://datasciencela.github.io/tag/meetups-2/</link><pubDate>Mon, 28 Jan 2019 01:25:06 -0800</pubDate><guid>https://datasciencela.github.io/tag/meetups-2/</guid><description/></item><item><title>R</title><link>https://datasciencela.github.io/tag/r/</link><pubDate>Mon, 28 Jan 2019 01:25:06 -0800</pubDate><guid>https://datasciencela.github.io/tag/r/</guid><description/></item><item><title>UCLA</title><link>https://datasciencela.github.io/tag/ucla/</link><pubDate>Mon, 28 Jan 2019 01:25:06 -0800</pubDate><guid>https://datasciencela.github.io/tag/ucla/</guid><description/></item><item><title>gradient boosting</title><link>https://datasciencela.github.io/tag/gradient-boosting/</link><pubDate>Fri, 20 Jul 2018 17:43:00 -0700</pubDate><guid>https://datasciencela.github.io/tag/gradient-boosting/</guid><description/></item><item><title>hadley</title><link>https://datasciencela.github.io/tag/hadley/</link><pubDate>Sat, 28 Oct 2017 12:57:13 -0700</pubDate><guid>https://datasciencela.github.io/tag/hadley/</guid><description/></item><item><title>python</title><link>https://datasciencela.github.io/tag/python/</link><pubDate>Fri, 28 Apr 2017 00:55:25 -0700</pubDate><guid>https://datasciencela.github.io/tag/python/</guid><description/></item><item><title>statistics</title><link>https://datasciencela.github.io/tag/statistics/</link><pubDate>Fri, 28 Apr 2017 00:55:25 -0700</pubDate><guid>https://datasciencela.github.io/tag/statistics/</guid><description/></item><item><title>big data</title><link>https://datasciencela.github.io/tag/big-data/</link><pubDate>Wed, 08 Mar 2017 09:29:48 -0800</pubDate><guid>https://datasciencela.github.io/tag/big-data/</guid><description/></item><item><title>Google</title><link>https://datasciencela.github.io/tag/google/</link><pubDate>Thu, 24 Nov 2016 22:27:11 -0800</pubDate><guid>https://datasciencela.github.io/tag/google/</guid><description/></item><item><title>useR</title><link>https://datasciencela.github.io/tag/user/</link><pubDate>Fri, 18 Nov 2016 13:31:13 -0800</pubDate><guid>https://datasciencela.github.io/tag/user/</guid><description/></item><item><title>meetup</title><link>https://datasciencela.github.io/tag/meetup/</link><pubDate>Fri, 14 Oct 2016 15:29:39 -0700</pubDate><guid>https://datasciencela.github.io/tag/meetup/</guid><description/></item><item><title>amazon</title><link>https://datasciencela.github.io/tag/amazon/</link><pubDate>Fri, 14 Oct 2016 15:29:22 -0700</pubDate><guid>https://datasciencela.github.io/tag/amazon/</guid><description/></item><item><title>deep learning</title><link>https://datasciencela.github.io/tag/deep-learning/</link><pubDate>Fri, 14 Oct 2016 15:29:22 -0700</pubDate><guid>https://datasciencela.github.io/tag/deep-learning/</guid><description/></item><item><title>neural networks</title><link>https://datasciencela.github.io/tag/neural-networks/</link><pubDate>Fri, 14 Oct 2016 15:29:22 -0700</pubDate><guid>https://datasciencela.github.io/tag/neural-networks/</guid><description/></item><item><title>GBM</title><link>https://datasciencela.github.io/tag/gbm/</link><pubDate>Mon, 06 Jun 2016 09:00:50 -0700</pubDate><guid>https://datasciencela.github.io/tag/gbm/</guid><description/></item><item><title>predictive modeling</title><link>https://datasciencela.github.io/tag/predictive-modeling/</link><pubDate>Mon, 06 Jun 2016 09:00:50 -0700</pubDate><guid>https://datasciencela.github.io/tag/predictive-modeling/</guid><description/></item><item><title>production</title><link>https://datasciencela.github.io/tag/production/</link><pubDate>Mon, 06 Jun 2016 09:00:50 -0700</pubDate><guid>https://datasciencela.github.io/tag/production/</guid><description/></item><item><title>kaggle</title><link>https://datasciencela.github.io/tag/kaggle/</link><pubDate>Thu, 19 May 2016 10:06:17 -0700</pubDate><guid>https://datasciencela.github.io/tag/kaggle/</guid><description/></item><item><title>xgboost</title><link>https://datasciencela.github.io/tag/xgboost/</link><pubDate>Thu, 19 May 2016 10:06:17 -0700</pubDate><guid>https://datasciencela.github.io/tag/xgboost/</guid><description/></item><item><title>GPU</title><link>https://datasciencela.github.io/tag/gpu/</link><pubDate>Tue, 03 May 2016 11:37:29 -0700</pubDate><guid>https://datasciencela.github.io/tag/gpu/</guid><description/></item><item><title>databricks</title><link>https://datasciencela.github.io/tag/databricks/</link><pubDate>Mon, 18 Apr 2016 12:57:06 -0700</pubDate><guid>https://datasciencela.github.io/tag/databricks/</guid><description/></item><item><title>spark</title><link>https://datasciencela.github.io/tag/spark/</link><pubDate>Mon, 18 Apr 2016 12:57:06 -0700</pubDate><guid>https://datasciencela.github.io/tag/spark/</guid><description/></item><item><title>education</title><link>https://datasciencela.github.io/tag/education-2/</link><pubDate>Fri, 05 Feb 2016 16:36:40 -0800</pubDate><guid>https://datasciencela.github.io/tag/education-2/</guid><description/></item><item><title>h2o</title><link>https://datasciencela.github.io/tag/h2o/</link><pubDate>Tue, 05 Jan 2016 09:30:53 -0800</pubDate><guid>https://datasciencela.github.io/tag/h2o/</guid><description/></item><item><title>apache</title><link>https://datasciencela.github.io/tag/apache/</link><pubDate>Tue, 05 Jan 2016 09:30:37 -0800</pubDate><guid>https://datasciencela.github.io/tag/apache/</guid><description/></item><item><title>data warehouse</title><link>https://datasciencela.github.io/tag/data-warehouse/</link><pubDate>Tue, 05 Jan 2016 09:30:37 -0800</pubDate><guid>https://datasciencela.github.io/tag/data-warehouse/</guid><description/></item><item><title>Hadoop</title><link>https://datasciencela.github.io/tag/hadoop/</link><pubDate>Tue, 05 Jan 2016 09:30:37 -0800</pubDate><guid>https://datasciencela.github.io/tag/hadoop/</guid><description/></item><item><title>tajo</title><link>https://datasciencela.github.io/tag/tajo/</link><pubDate>Tue, 05 Jan 2016 09:30:37 -0800</pubDate><guid>https://datasciencela.github.io/tag/tajo/</guid><description/></item><item><title>enterprise</title><link>https://datasciencela.github.io/tag/enterprise/</link><pubDate>Thu, 29 Oct 2015 15:10:25 -0700</pubDate><guid>https://datasciencela.github.io/tag/enterprise/</guid><description/></item><item><title>analytics</title><link>https://datasciencela.github.io/tag/analytics/</link><pubDate>Tue, 23 Jun 2015 17:10:06 -0700</pubDate><guid>https://datasciencela.github.io/tag/analytics/</guid><description/></item><item><title>bi</title><link>https://datasciencela.github.io/tag/bi/</link><pubDate>Tue, 23 Jun 2015 17:10:06 -0700</pubDate><guid>https://datasciencela.github.io/tag/bi/</guid><description/></item><item><title>business intelligence</title><link>https://datasciencela.github.io/tag/business-intelligence/</link><pubDate>Tue, 23 Jun 2015 17:10:06 -0700</pubDate><guid>https://datasciencela.github.io/tag/business-intelligence/</guid><description/></item><item><title>dw</title><link>https://datasciencela.github.io/tag/dw/</link><pubDate>Tue, 23 Jun 2015 17:10:06 -0700</pubDate><guid>https://datasciencela.github.io/tag/dw/</guid><description/></item><item><title>scale</title><link>https://datasciencela.github.io/tag/scale/</link><pubDate>Tue, 23 Jun 2015 17:10:06 -0700</pubDate><guid>https://datasciencela.github.io/tag/scale/</guid><description/></item><item><title>carlos guestrin</title><link>https://datasciencela.github.io/tag/carlos-guestrin/</link><pubDate>Thu, 18 Jun 2015 15:53:26 -0700</pubDate><guid>https://datasciencela.github.io/tag/carlos-guestrin/</guid><description/></item><item><title>dato</title><link>https://datasciencela.github.io/tag/dato/</link><pubDate>Thu, 18 Jun 2015 15:53:26 -0700</pubDate><guid>https://datasciencela.github.io/tag/dato/</guid><description/></item><item><title>random forests</title><link>https://datasciencela.github.io/tag/random-forests/</link><pubDate>Tue, 19 May 2015 08:30:44 -0700</pubDate><guid>https://datasciencela.github.io/tag/random-forests/</guid><description/></item><item><title>scikit-learn</title><link>https://datasciencela.github.io/tag/scikit-learn/</link><pubDate>Tue, 19 May 2015 08:30:44 -0700</pubDate><guid>https://datasciencela.github.io/tag/scikit-learn/</guid><description/></item><item><title>anonymity</title><link>https://datasciencela.github.io/tag/anonymity/</link><pubDate>Mon, 30 Mar 2015 09:23:55 -0700</pubDate><guid>https://datasciencela.github.io/tag/anonymity/</guid><description/></item><item><title>whisper</title><link>https://datasciencela.github.io/tag/whisper/</link><pubDate>Mon, 30 Mar 2015 09:23:55 -0700</pubDate><guid>https://datasciencela.github.io/tag/whisper/</guid><description/></item><item><title>data</title><link>https://datasciencela.github.io/tag/data/</link><pubDate>Wed, 04 Mar 2015 10:00:20 -0800</pubDate><guid>https://datasciencela.github.io/tag/data/</guid><description/></item><item><title>data warehousing</title><link>https://datasciencela.github.io/tag/data-warehousing/</link><pubDate>Sun, 15 Feb 2015 13:45:12 -0800</pubDate><guid>https://datasciencela.github.io/tag/data-warehousing/</guid><description/></item><item><title>datavis</title><link>https://datasciencela.github.io/tag/datavis-2/</link><pubDate>Sun, 15 Feb 2015 13:45:12 -0800</pubDate><guid>https://datasciencela.github.io/tag/datavis-2/</guid><description/></item><item><title>MPP database</title><link>https://datasciencela.github.io/tag/mpp-database/</link><pubDate>Sun, 15 Feb 2015 13:45:12 -0800</pubDate><guid>https://datasciencela.github.io/tag/mpp-database/</guid><description/></item><item><title>visualization</title><link>https://datasciencela.github.io/tag/visualization/</link><pubDate>Sun, 15 Feb 2015 13:45:12 -0800</pubDate><guid>https://datasciencela.github.io/tag/visualization/</guid><description/></item><item><title>htmlwidgets</title><link>https://datasciencela.github.io/tag/htmlwidgets/</link><pubDate>Fri, 13 Feb 2015 10:35:31 -0800</pubDate><guid>https://datasciencela.github.io/tag/htmlwidgets/</guid><description/></item><item><title>knitR</title><link>https://datasciencela.github.io/tag/knitr/</link><pubDate>Fri, 13 Feb 2015 10:35:31 -0800</pubDate><guid>https://datasciencela.github.io/tag/knitr/</guid><description/></item><item><title>shiny</title><link>https://datasciencela.github.io/tag/shiny/</link><pubDate>Fri, 13 Feb 2015 10:35:31 -0800</pubDate><guid>https://datasciencela.github.io/tag/shiny/</guid><description/></item><item><title>yihui xie</title><link>https://datasciencela.github.io/tag/yihui-xie/</link><pubDate>Fri, 13 Feb 2015 10:35:31 -0800</pubDate><guid>https://datasciencela.github.io/tag/yihui-xie/</guid><description/></item><item><title>joe cheng</title><link>https://datasciencela.github.io/tag/joe-cheng/</link><pubDate>Fri, 13 Feb 2015 10:25:38 -0800</pubDate><guid>https://datasciencela.github.io/tag/joe-cheng/</guid><description/></item><item><title>web</title><link>https://datasciencela.github.io/tag/web/</link><pubDate>Fri, 13 Feb 2015 10:25:38 -0800</pubDate><guid>https://datasciencela.github.io/tag/web/</guid><description/></item><item><title>blaze</title><link>https://datasciencela.github.io/tag/blaze/</link><pubDate>Sat, 07 Feb 2015 15:35:01 -0800</pubDate><guid>https://datasciencela.github.io/tag/blaze/</guid><description/></item><item><title>pandas</title><link>https://datasciencela.github.io/tag/pandas/</link><pubDate>Sat, 07 Feb 2015 15:35:01 -0800</pubDate><guid>https://datasciencela.github.io/tag/pandas/</guid><description/></item><item><title>hiring</title><link>https://datasciencela.github.io/tag/hiring/</link><pubDate>Fri, 06 Feb 2015 11:25:56 -0800</pubDate><guid>https://datasciencela.github.io/tag/hiring/</guid><description/></item><item><title>advertising</title><link>https://datasciencela.github.io/tag/advertising/</link><pubDate>Mon, 26 Jan 2015 10:41:08 -0800</pubDate><guid>https://datasciencela.github.io/tag/advertising/</guid><description/></item><item><title>datapop</title><link>https://datasciencela.github.io/tag/datapop/</link><pubDate>Mon, 26 Jan 2015 10:41:08 -0800</pubDate><guid>https://datasciencela.github.io/tag/datapop/</guid><description/></item><item><title>semantics</title><link>https://datasciencela.github.io/tag/semantics/</link><pubDate>Mon, 26 Jan 2015 10:41:08 -0800</pubDate><guid>https://datasciencela.github.io/tag/semantics/</guid><description/></item><item><title>security</title><link>https://datasciencela.github.io/tag/security/</link><pubDate>Mon, 12 Jan 2015 09:25:12 -0800</pubDate><guid>https://datasciencela.github.io/tag/security/</guid><description/></item><item><title>SQL</title><link>https://datasciencela.github.io/tag/sql/</link><pubDate>Mon, 12 Jan 2015 09:25:12 -0800</pubDate><guid>https://datasciencela.github.io/tag/sql/</guid><description/></item><item><title>pictures</title><link>https://datasciencela.github.io/tag/pictures/</link><pubDate>Thu, 08 Jan 2015 20:00:26 -0800</pubDate><guid>https://datasciencela.github.io/tag/pictures/</guid><description/></item><item><title>bokeh</title><link>https://datasciencela.github.io/tag/bokeh/</link><pubDate>Tue, 30 Dec 2014 15:55:03 -0800</pubDate><guid>https://datasciencela.github.io/tag/bokeh/</guid><description/></item><item><title>d3.js</title><link>https://datasciencela.github.io/tag/d3-js/</link><pubDate>Tue, 30 Dec 2014 15:55:03 -0800</pubDate><guid>https://datasciencela.github.io/tag/d3-js/</guid><description/></item><item><title>ggplot2</title><link>https://datasciencela.github.io/tag/ggplot2/</link><pubDate>Tue, 30 Dec 2014 15:55:03 -0800</pubDate><guid>https://datasciencela.github.io/tag/ggplot2/</guid><description/></item><item><title>Data Visualization</title><link>https://datasciencela.github.io/tag/data-visualization/</link><pubDate>Fri, 12 Dec 2014 10:35:30 -0800</pubDate><guid>https://datasciencela.github.io/tag/data-visualization/</guid><description/></item><item><title>matplotlib</title><link>https://datasciencela.github.io/tag/matplotlib/</link><pubDate>Fri, 12 Dec 2014 10:35:30 -0800</pubDate><guid>https://datasciencela.github.io/tag/matplotlib/</guid><description/></item><item><title>plotly</title><link>https://datasciencela.github.io/tag/plotly/</link><pubDate>Fri, 12 Dec 2014 10:35:30 -0800</pubDate><guid>https://datasciencela.github.io/tag/plotly/</guid><description/></item><item><title>random</title><link>https://datasciencela.github.io/tag/random-2/</link><pubDate>Tue, 09 Dec 2014 10:02:02 -0800</pubDate><guid>https://datasciencela.github.io/tag/random-2/</guid><description/></item><item><title>dplyr</title><link>https://datasciencela.github.io/tag/dplyr/</link><pubDate>Thu, 04 Dec 2014 09:30:00 -0800</pubDate><guid>https://datasciencela.github.io/tag/dplyr/</guid><description/></item><item><title>Hadleyverse</title><link>https://datasciencela.github.io/tag/hadleyverse/</link><pubDate>Thu, 04 Dec 2014 09:30:00 -0800</pubDate><guid>https://datasciencela.github.io/tag/hadleyverse/</guid><description/></item><item><title>data.table</title><link>https://datasciencela.github.io/tag/data-table/</link><pubDate>Wed, 03 Dec 2014 09:35:05 -0800</pubDate><guid>https://datasciencela.github.io/tag/data-table/</guid><description/></item><item><title>marketing</title><link>https://datasciencela.github.io/tag/marketing/</link><pubDate>Tue, 25 Nov 2014 09:45:53 -0800</pubDate><guid>https://datasciencela.github.io/tag/marketing/</guid><description/></item><item><title>R&amp;D</title><link>https://datasciencela.github.io/tag/rd/</link><pubDate>Tue, 25 Nov 2014 09:45:53 -0800</pubDate><guid>https://datasciencela.github.io/tag/rd/</guid><description/></item><item><title>workshop</title><link>https://datasciencela.github.io/tag/workshop/</link><pubDate>Thu, 20 Nov 2014 10:04:38 -0800</pubDate><guid>https://datasciencela.github.io/tag/workshop/</guid><description/></item><item><title>packrat</title><link>https://datasciencela.github.io/tag/packrat/</link><pubDate>Tue, 18 Nov 2014 09:20:24 -0800</pubDate><guid>https://datasciencela.github.io/tag/packrat/</guid><description/></item><item><title>userR! 2014</title><link>https://datasciencela.github.io/tag/userr-2014/</link><pubDate>Tue, 18 Nov 2014 09:20:24 -0800</pubDate><guid>https://datasciencela.github.io/tag/userr-2014/</guid><description/></item><item><title>IPython notebook</title><link>https://datasciencela.github.io/tag/ipython-notebook/</link><pubDate>Mon, 10 Nov 2014 10:02:46 -0800</pubDate><guid>https://datasciencela.github.io/tag/ipython-notebook/</guid><description/></item><item><title>parallel processing</title><link>https://datasciencela.github.io/tag/parallel-processing/</link><pubDate>Mon, 10 Nov 2014 10:02:46 -0800</pubDate><guid>https://datasciencela.github.io/tag/parallel-processing/</guid><description/></item><item><title>tutorials</title><link>https://datasciencela.github.io/tag/tutorials/</link><pubDate>Mon, 03 Nov 2014 10:00:28 -0800</pubDate><guid>https://datasciencela.github.io/tag/tutorials/</guid><description/></item><item><title>data vis</title><link>https://datasciencela.github.io/tag/data-vis/</link><pubDate>Wed, 29 Oct 2014 09:16:21 -0700</pubDate><guid>https://datasciencela.github.io/tag/data-vis/</guid><description/></item><item><title>reproducibility</title><link>https://datasciencela.github.io/tag/reproducibility/</link><pubDate>Wed, 29 Oct 2014 09:16:21 -0700</pubDate><guid>https://datasciencela.github.io/tag/reproducibility/</guid><description/></item><item><title>interviews</title><link>https://datasciencela.github.io/tag/interviews/</link><pubDate>Mon, 27 Oct 2014 09:48:53 -0700</pubDate><guid>https://datasciencela.github.io/tag/interviews/</guid><description/></item><item><title>undergraduates</title><link>https://datasciencela.github.io/tag/undergraduates/</link><pubDate>Mon, 20 Oct 2014 11:14:57 -0700</pubDate><guid>https://datasciencela.github.io/tag/undergraduates/</guid><description/></item><item><title>RStudio</title><link>https://datasciencela.github.io/tag/rstudio/</link><pubDate>Wed, 15 Oct 2014 10:00:42 -0700</pubDate><guid>https://datasciencela.github.io/tag/rstudio/</guid><description/></item><item><title>multiprocessing</title><link>https://datasciencela.github.io/tag/multiprocessing/</link><pubDate>Wed, 08 Oct 2014 09:37:41 -0700</pubDate><guid>https://datasciencela.github.io/tag/multiprocessing/</guid><description/></item><item><title>deployment</title><link>https://datasciencela.github.io/tag/deployment/</link><pubDate>Fri, 26 Sep 2014 11:25:44 -0700</pubDate><guid>https://datasciencela.github.io/tag/deployment/</guid><description/></item><item><title>jj allaire</title><link>https://datasciencela.github.io/tag/jj-allaire/</link><pubDate>Fri, 26 Sep 2014 11:25:44 -0700</pubDate><guid>https://datasciencela.github.io/tag/jj-allaire/</guid><description/></item><item><title>data munging</title><link>https://datasciencela.github.io/tag/data-munging/</link><pubDate>Wed, 24 Sep 2014 10:25:13 -0700</pubDate><guid>https://datasciencela.github.io/tag/data-munging/</guid><description/></item><item><title>Excel</title><link>https://datasciencela.github.io/tag/excel/</link><pubDate>Wed, 24 Sep 2014 10:25:13 -0700</pubDate><guid>https://datasciencela.github.io/tag/excel/</guid><description/></item><item><title>Tableau</title><link>https://datasciencela.github.io/tag/tableau/</link><pubDate>Wed, 24 Sep 2014 10:25:13 -0700</pubDate><guid>https://datasciencela.github.io/tag/tableau/</guid><description/></item><item><title>Unix</title><link>https://datasciencela.github.io/tag/unix/</link><pubDate>Wed, 24 Sep 2014 10:25:13 -0700</pubDate><guid>https://datasciencela.github.io/tag/unix/</guid><description/></item><item><title>dirk</title><link>https://datasciencela.github.io/tag/dirk/</link><pubDate>Mon, 22 Sep 2014 10:35:04 -0700</pubDate><guid>https://datasciencela.github.io/tag/dirk/</guid><description/></item><item><title>finance</title><link>https://datasciencela.github.io/tag/finance/</link><pubDate>Mon, 22 Sep 2014 10:35:04 -0700</pubDate><guid>https://datasciencela.github.io/tag/finance/</guid><description/></item><item><title>hpc</title><link>https://datasciencela.github.io/tag/hpc/</link><pubDate>Mon, 22 Sep 2014 10:35:04 -0700</pubDate><guid>https://datasciencela.github.io/tag/hpc/</guid><description/></item><item><title>Rcpp</title><link>https://datasciencela.github.io/tag/rcpp/</link><pubDate>Mon, 22 Sep 2014 10:35:04 -0700</pubDate><guid>https://datasciencela.github.io/tag/rcpp/</guid><description/></item><item><title>dataviz</title><link>https://datasciencela.github.io/tag/dataviz/</link><pubDate>Thu, 18 Sep 2014 14:26:20 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-0700</pubDate><guid>https://datasciencela.github.io/tag/maechler/</guid><description/></item><item><title>martin</title><link>https://datasciencela.github.io/tag/martin/</link><pubDate>Thu, 11 Sep 2014 10:38:11 -0700</pubDate><guid>https://datasciencela.github.io/tag/martin/</guid><description/></item><item><title>r-core</title><link>https://datasciencela.github.io/tag/r-core/</link><pubDate>Thu, 11 Sep 2014 10:38:11 -0700</pubDate><guid>https://datasciencela.github.io/tag/r-core/</guid><description/></item><item><title>business</title><link>https://datasciencela.github.io/tag/business/</link><pubDate>Wed, 10 Sep 2014 09:45:20 -0700</pubDate><guid>https://datasciencela.github.io/tag/business/</guid><description/></item><item><title>biostatistics</title><link>https://datasciencela.github.io/tag/biostatistics/</link><pubDate>Mon, 08 Sep 2014 23:58:02 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-0700</pubDate><guid>https://datasciencela.github.io/tag/eyeo/</guid><description/></item><item><title>summary</title><link>https://datasciencela.github.io/tag/summary/</link><pubDate>Fri, 05 Sep 2014 09:40:04 -0700</pubDate><guid>https://datasciencela.github.io/tag/summary/</guid><description/></item><item><title>ggvis</title><link>https://datasciencela.github.io/tag/ggvis/</link><pubDate>Thu, 04 Sep 2014 11:13:51 -0700</pubDate><guid>https://datasciencela.github.io/tag/ggvis/</guid><description/></item><item><title>interfaces</title><link>https://datasciencela.github.io/tag/interfaces/</link><pubDate>Thu, 04 Sep 2014 11:13:51 -0700</pubDate><guid>https://datasciencela.github.io/tag/interfaces/</guid><description/></item><item><title>big data camp</title><link>https://datasciencela.github.io/tag/big-data-camp/</link><pubDate>Wed, 03 Sep 2014 09:54:50 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-0700</pubDate><guid>https://datasciencela.github.io/tag/raffles/</guid><description/></item><item><title>animate</title><link>https://datasciencela.github.io/tag/animate/</link><pubDate>Mon, 01 Sep 2014 11:00:48 -0700</pubDate><guid>https://datasciencela.github.io/tag/animate/</guid><description/></item><item><title>read.csv</title><link>https://datasciencela.github.io/tag/read-csv/</link><pubDate>Thu, 28 Aug 2014 11:04:36 -0700</pubDate><guid>https://datasciencela.github.io/tag/read-csv/</guid><description/></item><item><title>revolution</title><link>https://datasciencela.github.io/tag/revolution/</link><pubDate>Mon, 25 Aug 2014 10:00:32 -0700</pubDate><guid>https://datasciencela.github.io/tag/revolution/</guid><description/></item><item><title>panel</title><link>https://datasciencela.github.io/tag/panel/</link><pubDate>Thu, 21 Aug 2014 14:27:50 -0700</pubDate><guid>https://datasciencela.github.io/tag/panel/</guid><description/></item><item><title>high school 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10:31:16 -0700</pubDate><guid>https://datasciencela.github.io/tag/r-bloggers/</guid><description/></item><item><title>caret</title><link>https://datasciencela.github.io/tag/caret/</link><pubDate>Mon, 11 Aug 2014 10:02:40 -0700</pubDate><guid>https://datasciencela.github.io/tag/caret/</guid><description/></item><item><title>history</title><link>https://datasciencela.github.io/tag/history/</link><pubDate>Wed, 06 Aug 2014 18:14:19 -0700</pubDate><guid>https://datasciencela.github.io/tag/history/</guid><description/></item><item><title>John Chambers</title><link>https://datasciencela.github.io/tag/john-chambers/</link><pubDate>Wed, 06 Aug 2014 18:14:19 -0700</pubDate><guid>https://datasciencela.github.io/tag/john-chambers/</guid><description/></item><item><title>S</title><link>https://datasciencela.github.io/tag/s/</link><pubDate>Wed, 06 Aug 2014 18:14:19 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-0700</pubDate><guid>https://datasciencela.github.io/tag/writing/</guid><description/></item><item><title>DataFest</title><link>https://datasciencela.github.io/tag/datafest/</link><pubDate>Wed, 06 Aug 2014 17:28:33 -0700</pubDate><guid>https://datasciencela.github.io/tag/datafest/</guid><description/></item></channel></rss>