{"id":10794,"date":"2026-08-10T10:23:37","date_gmt":"2026-08-10T10:23:37","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/linkedin-hands-on-data-annotation-applied-machine-learning-2023-12\/"},"modified":"2026-08-10T10:23:37","modified_gmt":"2026-08-10T10:23:37","slug":"linkedin-hands-on-data-annotation-applied-machine-learning-2023-12","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/linkedin-hands-on-data-annotation-applied-machine-learning-2023-12\/","title":{"rendered":"LinkedIn \u2013 Hands-On Data Annotation: Applied Machine Learning 2023-12"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p data-sourcepos=\"5:1-5:657\"><span style=\"vertical-align: inherit\">In Hands-On Data Annotation: Applied Machine Learning, Woraula Oyewosi delves deeply into the intricacies of data annotation for machine learning. He shows how data is prepared and used to train machine learning models. Oyewosi begins with an overview of the principles, types, and importance of data annotation in machine learning pipelines. He then explores practical use cases for data annotation in natural language processing, computer vision, and general data science using a variety of tools. Other topics include the use of open-source and proprietary tools for data annotation, as well as data labeling on major cloud platforms such as AWS, Azure, and GCP.<\/span><\/p>\n<h3 data-sourcepos=\"7:1-7:24\"><strong><span style=\"vertical-align: inherit\">What you will learn<\/span><\/strong><\/h3>\n<ul>\n<li data-sourcepos=\"9:1-9:595\"><span style=\"vertical-align: inherit\">In this course, learners will learn how to prepare and use data to train machine learning models. They will understand the principles, types, and importance of data annotation in machine learning processes.<\/span><\/li>\n<li data-sourcepos=\"9:1-9:595\"><span style=\"vertical-align: inherit\">This course helps participants gain practical skills in data annotation for various applications including natural language processing, computer vision, and data science.<\/span><\/li>\n<li data-sourcepos=\"9:1-9:595\"><span style=\"vertical-align: inherit\">They will also learn how to use a variety of tools, both open source and proprietary, to annotate data. Additionally, learners will learn how to label data on leading cloud platforms such as AWS, Azure, and GCP.<\/span><\/li>\n<\/ul>\n<h3 data-sourcepos=\"11:1-11:30\"><strong><span style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/strong><\/h3>\n<ul>\n<li data-sourcepos=\"13:1-13:581\"><span style=\"vertical-align: inherit\">This course is designed for those curious about how data powers machine learning and data science. It is also ideal for those looking to gain practical skills in data annotation for machine learning applications.<\/span><\/li>\n<li data-sourcepos=\"13:1-13:581\"><span style=\"vertical-align: inherit\">Students, data engineers, data scientists, machine learning professionals, and anyone interested in a deeper understanding of the role of data in AI can benefit from this course. This course is especially recommended for those who plan to participate in machine learning projects and need a comprehensive understanding of the data preparation and labeling process.<\/span><\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Hands-On Data Annotation: Applied Machine Learning Course Details<\/span><\/h3>\n<ul>\n<li><span style=\"vertical-align: inherit\">Publisher: <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.linkedin.com\/learning\/hands-on-data-annotation-applied-machine-learning\" target=\"_blank\" rel=\"noopener\"><span style=\"vertical-align: inherit\">LinkedIn<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Instructor: <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/wuraola-oyewusi\/\"><span style=\"vertical-align: inherit\">Wuraola Oyewusi<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Training level: Beginner to advanced<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Training duration: 3 hours and 51 minutes<\/span><\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Course headings<\/span><\/h3>\n<h2>&nbsp;<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-989409 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/06\/Hands-On-Data-Annotation-Applied-Machine-Learning11.png\" alt=\"Hands-On Data Annotation: Applied Machine Learning\" width=\"359\" height=\"501\"><\/h2>\n<h3><span style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<h2><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-989408 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/06\/Hands-On-Data-Annotation-Applied-Machine-Learning1.png\" alt=\"Hands-On Data Annotation: Applied Machine Learning\" width=\"816\" height=\"178\"><\/h2>\n<h3><span style=\"vertical-align: inherit\">Sample course video<\/span><\/h3>\n<div style=\"width: 640px;\" class=\"wp-video\"><span class=\"mejs-offscreen\">Video Player<\/span><\/p>\n<div id=\"mep_0\" class=\"mejs-container mejs-container-keyboard-inactive wp-video-shortcode mejs-video\" tabindex=\"0\" role=\"application\" aria-label=\"Video Player\" style=\"width: 640px; height: 360px; min-width: 217px;\">\n<div class=\"mejs-inner\">\n<div class=\"mejs-mediaelement\"><mediaelementwrapper id=\"video-167985-1\"><video class=\"wp-video-shortcode\" id=\"video-167985-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Hands-On_Data_Annotation_Applied_Machine_Learning_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Hands-On_Data_Annotation_Applied_Machine_Learning_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Hands-On_Data_Annotation_Applied_Machine_Learning_Downloadly.ir.mp4?nocache=1786139057764\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Hands-On_Data_Annotation_Applied_Machine_Learning_Downloadly.ir.mp4<\/a><\/video><\/mediaelementwrapper><\/div>\n<div class=\"mejs-layers\">\n<div class=\"mejs-poster mejs-layer\" style=\"display: none; width: 100%; height: 100%;\"><\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-loading\"><span class=\"mejs-overlay-loading-bg-img\"><\/span><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-error\"><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer mejs-overlay-play\" style=\"width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-button\" role=\"button\" tabindex=\"0\" aria-label=\"Play\" aria-pressed=\"false\"><\/div>\n<\/div>\n<\/div>\n<div class=\"mejs-controls\">\n<div class=\"mejs-button mejs-playpause-button mejs-play\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Play\" aria-label=\"Play\" tabindex=\"0\"><\/button><\/div>\n<div class=\"mejs-time mejs-currenttime-container\" role=\"timer\" aria-live=\"off\"><span class=\"mejs-currenttime\">00:00<\/span><\/div>\n<div class=\"mejs-time-rail\"><span class=\"mejs-time-total mejs-time-slider\" role=\"slider\" tabindex=\"0\" aria-label=\"Time Slider\" aria-valuemin=\"0\" aria-valuemax=\"0\" aria-valuenow=\"0\" aria-valuetext=\"00:00\"><span class=\"mejs-time-buffering\" style=\"display: none;\"><\/span><span class=\"mejs-time-loaded\"><\/span><span class=\"mejs-time-current\"><\/span><span class=\"mejs-time-hovered no-hover\"><\/span><span class=\"mejs-time-handle\"><span class=\"mejs-time-handle-content\"><\/span><\/span><span class=\"mejs-time-float\"><span class=\"mejs-time-float-current\">00:00<\/span><span class=\"mejs-time-float-corner\"><\/span><\/span><\/span><\/div>\n<div class=\"mejs-time mejs-duration-container\"><span class=\"mejs-duration\">00:00<\/span><\/div>\n<div class=\"mejs-button mejs-volume-button mejs-mute\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Mute\" aria-label=\"Mute\" tabindex=\"0\"><\/button><a href=\"javascript:void(0);\" class=\"mejs-volume-slider\" aria-label=\"Volume Slider\" aria-valuemin=\"0\" aria-valuemax=\"100\" role=\"slider\" aria-orientation=\"vertical\"><span class=\"mejs-offscreen\">Use Up\/Down Arrow keys to increase or decrease volume.<\/span><\/p>\n<div class=\"mejs-volume-total\">\n<div class=\"mejs-volume-current\" style=\"bottom: 0px; height: 100%;\"><\/div>\n<div class=\"mejs-volume-handle\" style=\"bottom: 100%; margin-bottom: -3px;\"><\/div>\n<\/div>\n<p><\/a><\/div>\n<div class=\"mejs-button mejs-fullscreen-button\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Fullscreen\" aria-label=\"Fullscreen\" tabindex=\"0\"><\/button><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div>\n<h3><span style=\"vertical-align: inherit\">Installation Guide<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">After Extract, view with your favorite player.<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Subtitles: English<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 720p<\/span><\/p>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Download link<\/span><\/h3>\n<p><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/LinkedIn_Hands-On_Data_Annotation_Applied_Machine_Learning_2023-12_Downloadly.ir.rar?nocache=1786139056\"><span style=\"vertical-align: inherit\">Download file \u2013 502 MB<\/span><\/a><\/p>\n<p><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/p>\n<h3><span style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">502 MB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description In Hands-On Data Annotation: Applied Machine Learning, Woraula Oyewosi delves deeply into the intricacies of data annotation for machine learning. 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