{"id":1352,"date":"2019-10-08T06:48:47","date_gmt":"2019-10-08T06:48:47","guid":{"rendered":"http:\/\/xtract.io\/blog\/?p=1352"},"modified":"2026-09-04T11:26:49","modified_gmt":"2026-09-04T11:26:49","slug":"data-labeling-data-preparation-for-machine-learning","status":"publish","type":"post","link":"https:\/\/www.xtract.io\/blog\/data-labeling-data-preparation-for-machine-learning\/","title":{"rendered":"Data Preparation for Machine learning : Why it\u2019s important and how to do it"},"content":{"rendered":"\n<h2><strong>Coding is a prerequisite for successful business models.<\/strong><\/h2>\n\n\n\n<p>I recently stumbled upon this answer by <strong>Alexandre Robicquet<\/strong> on Quora which was also published on Forbes. For a beginner who\u2019s looking for the most sensible advice on&nbsp;<\/p>\n\n\n\n<p>\u201cHow can I start learning about Machine Learning and Artificial Intelligence\u201d, here\u2019s what he says:<\/p>\n\n\n\n<h3><strong>A condensed version of his perspective:<\/strong><\/h3>\n\n\n\n<ul><li>Master coding, particularly python that is most ideal for machine learning. In addition to coding expertise, you should have good analytical and statistical skills.<\/li><\/ul>\n\n\n\n<ul><li>For starters, you can begin by cloning codes from git repositories or tutorials. But, to become a sound ML\/AI engineer, you must know and own what you\u2019re doing.<\/li><\/ul>\n\n\n\n<ul><li>Do not invent a solution and hunt for the problem. Instead, identify the problems and challenges to invent an automated solution.<\/li><\/ul>\n\n\n\n<p>(You may <a href=\"https:\/\/www.forbes.com\/sites\/quora\/2019\/09\/13\/how-to-get-started-in-artificial-intelligence-and-machine-learning\/#6aa006c0375c\" target=\"_blank\" rel=\"noopener\" aria-label=\" (opens in a new tab)\">read his answer<\/a> here).<\/p>\n\n\n\n<p>But, that\u2019s not it.&nbsp;<br><\/p>\n\n\n\n<p>If you\u2019re a coding nerd, double-check the quality and structure of data you feed into your algorithms as they play a huge role in inventing a successful analytical model.&nbsp;<br><\/p>\n\n\n\n<h4> <strong>There are 3 dimensions to building a successful AI\/ML model:<\/strong>  <\/h4>\n\n\n\n<p><strong>Algorithms, data, and computation.<\/strong><br><\/p>\n\n\n\n<p> Creating accurate algorithms and applying computational skills is a part of the whole process, but, what is foundational to this? <\/p>\n\n\n\n<p><strong>Lay the groundwork with the right data.<\/strong><\/p>\n\n\n\n<h4><strong><em>To continue reading, jump ahead to <\/em><\/strong><a href=\"https:\/\/www.kdnuggets.com\/2019\/10\/data-preparation-machine-learning-101.html\" target=\"_blank\" rel=\"noopener\" aria-label=\" (opens in a new tab)\"><strong><em>Kdnuggets <\/em><\/strong><\/a><strong><em>where this article was originally published.<\/em><\/strong><em><\/em><\/h4>\n","protected":false},"excerpt":{"rendered":"<p>Coding is a prerequisite for successful business models. I recently stumbled upon this answer by Alexandre Robicquet on Quora which was also published on Forbes. For a beginner who\u2019s looking for the most sensible advice on&nbsp; \u201cHow can I start learning about Machine Learning and Artificial Intelligence\u201d, here\u2019s what he says: A condensed version of<\/p>\n","protected":false},"author":4,"featured_media":1358,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[265],"tags":[244],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Labeling: Data Preparation for Machine Learning<\/title>\n<meta name=\"description\" content=\"Accurate data labeling is critical for machine learning success. Learn how proper data preparation improves model performance and accuracy.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.xtract.io\/blog\/data-labeling-data-preparation-for-machine-learning\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Labeling: Data Preparation for Machine Learning\" \/>\n<meta property=\"og:description\" content=\"Accurate data labeling is critical for machine learning success. Learn how proper data preparation improves model performance and accuracy.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.xtract.io\/blog\/data-labeling-data-preparation-for-machine-learning\/\" \/>\n<meta property=\"og:site_name\" content=\"Xtract.io Blog\" \/>\n<meta property=\"article:published_time\" content=\"2019-10-08T06:48:47+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-04T11:26:49+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.xtract.io\/blog\/wp-content\/uploads\/2019\/10\/xtract-banner-data-preparation1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1600\" \/>\n\t<meta property=\"og:image:height\" content=\"573\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Nandhini TS\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@xtract_io\" \/>\n<meta name=\"twitter:site\" content=\"@xtract_io\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Nandhini TS\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Data Labeling: Data Preparation for Machine Learning","description":"Accurate data labeling is critical for machine learning success. 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