{"id":369,"date":"2018-11-08T10:17:57","date_gmt":"2018-11-08T09:17:57","guid":{"rendered":"https:\/\/eaa-online.org\/arc\/blog\/art_portfolio\/useful-materials-data-science-central\/"},"modified":"2022-10-17T15:19:39","modified_gmt":"2022-10-17T13:19:39","slug":"useful-materials-data-science-central","status":"publish","type":"repository","link":"https:\/\/eaa-staging.mediaformat.dev\/arc\/repository\/useful-materials-data-science-central","title":{"rendered":"Useful materials from Data Science Central"},"content":{"rendered":"
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Some very useful materials from Data Science Central <\/a>are provided by Ties de Kok. (Live links are in the attached pdf below)<\/span><\/p>\n

Examples include<\/span><\/p>\n<\/div>\n<\/div>\n

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1)\u00a0<\/span>https:\/\/www.datasciencecentral.com\/profiles\/blogs\/automated-text-classification-using- machine-learning<\/span><\/a><\/p>\n

This article provides a quick overview of the various types of NLP machine learning. Might be insightful if one wants to get a better understanding of the various options that are out there when it comes to classifying text documents.<\/span><\/p>\n

2)\u00a0<\/span>https:\/\/www.datasciencecentral.com\/profiles\/blogs\/creating-your-first-machine- learning-classifier-model-in-sklearn<\/span><\/a><\/p>\n

This article describes the core steps of training a machine learning algorithm using the “sklearn” Python package which is arguably the most popular ML package out there. It is not very comprehensive but it is a good first read.<\/span><\/p>\n

3)\u00a0<\/span>https:\/\/www.datasciencecentral.com\/profiles\/blogs\/which-programming-language-is- considered-to-be-best-for-machine<\/span><\/a><\/p>\n

The question “which language should I use” tends to come up quite frequently, this article discusses this question from the perspective of machine learning. This is obviously not a black-and-white choice but at least it provides some discussion.<\/span><\/p>\n

4)\u00a0<\/span>https:\/\/www.bigdatanews.datasciencecentral.com\/profiles\/blogs\/10-machine-learning- algorithms-you-should-know-in-2018<\/span><\/a><\/p>\n

There are many different machine learning algorithms out there, so it might be a bit difficult sometimes to grasp the intuition of each of them. This article does quite a good job explaining the most popular algorithms.<\/span><\/p>\n

5)\u00a0<\/span>https:\/\/www.analyticbridge.datasciencecentral.com\/profiles\/blogs\/run-deep-learning- models-for-free-using-google-colaboratory-3<\/span><\/a><\/p>\n

Sometimes you need to run code that requires a more powerful system, or that requires longer run-times. For people that don’t have access to remote computing facilities it might be an interesting option to use Google Colaboratory as a free alternative. This article explains what it is and how you can use it.<\/span><\/p>\n

6)\u00a0<\/span>https:\/\/www.bigdatanews.datasciencecentral.com\/profiles\/blogs\/to-index-data-is-to- sort-data<\/span><\/a><\/p>\n<\/div>\n<\/div>\n

\"page1image14784\"<\/p>\n

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The website reports useful information about machine learning.\u00a0<\/span>Ties\u00a0<\/span>has picked some selected articles for your perusal.<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

Some very useful materials from Data Science Central are provided by Ties de Kok. (Live links are in the attached pdf below) Examples include 1)\u00a0https:\/\/www.datasciencecentral.com\/profiles\/blogs\/automated-text-classification-using- machine-learning This article provides a quick overview of the various types of NLP machine learning. Might be insightful if one wants to get a better understanding of the various options […]<\/p>\n","protected":false},"author":28,"featured_media":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ngg_post_thumbnail":0},"repository_category":[124],"class_list":["post-369","repository","type-repository","status-publish","hentry","repository_category-programming"],"acf":[],"yoast_head":"\nUseful materials from Data Science Central - ARC<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Useful materials from Data Science Central - ARC\" \/>\n<meta property=\"og:description\" content=\"Some very useful materials from Data Science Central are provided by Ties de Kok. (Live links are in the attached pdf below) Examples include 1)\u00a0https:\/\/www.datasciencecentral.com\/profiles\/blogs\/automated-text-classification-using- machine-learning This article provides a quick overview of the various types of NLP machine learning. 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(Live links are in the attached pdf below) Examples include 1)\u00a0https:\/\/www.datasciencecentral.com\/profiles\/blogs\/automated-text-classification-using- machine-learning This article provides a quick overview of the various types of NLP machine learning. 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