{"id":17,"date":"2019-12-14T13:18:23","date_gmt":"2019-12-14T13:18:23","guid":{"rendered":"http:\/\/vargas-solar.com\/data-ml-studios\/?page_id=17"},"modified":"2020-01-22T14:35:26","modified_gmt":"2020-01-22T14:35:26","slug":"to-read","status":"publish","type":"page","link":"http:\/\/vargas-solar.com\/data-ml-studios\/to-read\/","title":{"rendered":"TO READ"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\">Data Centric Sciences<\/h3>\n\n\n\n<ol class=\"wp-block-list\"><li>G. Vargas-solar, \u201cEfficient data management for putting forward data centric sciences,\u201d in Proc. 1st Int Workshop on Data Science: Methodologies and Use-Cases (DaS\u201917) (in press), 2017. [<a href=\"http:\/\/vargas-solar.com\/data-centric-smart-everything\/wp-content\/uploads\/sites\/42\/2019\/01\/efficient-data-management-copie.pdf\">PDF<\/a>]<\/li><\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">Data Science Pipelines<\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li>G. Vargas-Solar, Enacting challenges of data science pipelines, <a href=\"https:\/\/medium.com\/learning-based-data-science-pipelines-for-setting\/enacting-challenges-of-data-science-pipelines-50685f168ad6\">https:\/\/medium.com\/learning-based-data-science-pipelines-for-setting\/enacting-challenges-of-data-science-pipelines-50685f168ad6<\/a><\/li><li>G. Vargas-Solar, Designing and enacting data science pipelines as queries, https:\/\/medium.com\/@genovevavargassolar\/designing-and-enacting-data-science-pipelines-as-queries-8e12bccea4e7 <\/li><li>G. Vargas-Solar, From Data Management Systems to Data Science Environments: State of the Art, https:\/\/medium.com\/@genovevavargassolar\/from-data-management-systems-to-data-science-environments-state-of-the-art-fe8cd52481fc<\/li><li>G. Vargas-Solar, Challenges and issues to deal with a brand new type of queries: data science queries, https:\/\/medium.com\/learning-based-data-science-pipelines-for-setting\/challenges-and-issues-to-deal-with-a-brand-new-type-of-queries-data-science-queries-7163e9b365ed<\/li><\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Developing Data Engineering Skills<\/h4>\n\n\n\n<ul class=\"wp-block-list\"><li>Data Engineering Cookbook, https:\/\/github.com\/andkret\/Cookbook<\/li><li>Probability Distributions in Data Science, https:\/\/towardsdatascience.com\/probability-distributions-in-data-science-cce6e64873a7<\/li><li>Mathematics for Machine Learning, https:\/\/mml-book.github.io\/book\/mml-book.pdf<\/li><\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Useful cheat sheets<\/h4>\n\n\n\n<ul class=\"wp-block-list\"><li>SQL Cheat Sheet<\/li><li>Python for Data Analytics Cheat Sheets<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"http:\/\/vargas-solar.com\/data-centric-smart-everything\/wp-content\/uploads\/sites\/42\/2018\/10\/32349868_2066527500038386_2737705874951766016_o.png\" alt=\"\" class=\"wp-image-102\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"http:\/\/vargas-solar.com\/data-centric-smart-everything\/wp-content\/uploads\/sites\/42\/2018\/10\/33038917_2074447612579708_6927382782129733632_n.png\" alt=\"\" class=\"wp-image-103\"\/><\/figure>\n\n\n\n<p>Data science cheat sheet [<a href=\"http:\/\/vargas-solar.com\/data-ml-studios\/wp-content\/uploads\/sites\/43\/2020\/01\/ds-cheat-sheet.pdf\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"PDF (opens in a new tab)\">PDF<\/a>]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Centric Sciences G. Vargas-solar, &ldquo;Efficient data management for putting forward data centric sciences,&rdquo; in Proc. 1st Int Workshop on Data Science: Methodologies and Use-Cases (DaS&rsquo;17) (in press), 2017. [PDF] Data Science Pipelines G. Vargas-Solar, Enacting challenges of data science pipelines, https:\/\/medium.com\/learning-based-data-science-pipelines-for-setting\/enacting-challenges-of-data-science-pipelines-50685f168ad6 G. Vargas-Solar, Designing and enacting data science pipelines as queries, https:\/\/medium.com\/@genovevavargassolar\/designing-and-enacting-data-science-pipelines-as-queries-8e12bccea4e7 G. Vargas-Solar, [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/full-width.php","meta":{"footnotes":""},"class_list":["post-17","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/vargas-solar.com\/data-ml-studios\/wp-json\/wp\/v2\/pages\/17","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/vargas-solar.com\/data-ml-studios\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/vargas-solar.com\/data-ml-studios\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/vargas-solar.com\/data-ml-studios\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"http:\/\/vargas-solar.com\/data-ml-studios\/wp-json\/wp\/v2\/comments?post=17"}],"version-history":[{"count":8,"href":"http:\/\/vargas-solar.com\/data-ml-studios\/wp-json\/wp\/v2\/pages\/17\/revisions"}],"predecessor-version":[{"id":120,"href":"http:\/\/vargas-solar.com\/data-ml-studios\/wp-json\/wp\/v2\/pages\/17\/revisions\/120"}],"wp:attachment":[{"href":"http:\/\/vargas-solar.com\/data-ml-studios\/wp-json\/wp\/v2\/media?parent=17"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}