{"id":6296,"date":"2022-04-28T20:43:32","date_gmt":"2022-04-28T20:43:32","guid":{"rendered":"https:\/\/www.tun.com\/courses\/2019\/12\/23\/data-for-machine-learning\/"},"modified":"2022-04-28T20:43:33","modified_gmt":"2022-04-28T20:43:33","slug":"data-for-machine-learning","status":"publish","type":"post","link":"https:\/\/www.tun.com\/courses\/data-for-machine-learning\/alberta-machine-intelligence-institute\/","title":{"rendered":"Data for Machine Learning"},"content":{"rendered":"
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Description<\/h2>\n

This course is all about data and how it is critical to the success of your applied machine learning model. Completing this course will give learners the skills to:
\nUnderstand the critical elements of data in the learning, training and operation phases
\nUnderstand biases and sources of data
\nImplement techniques to improve the generality of your model
\nExplain the consequences of overfitting and identify mitigation measures
\nImplement appropriate test and validation measures.
\nDemonstrate how the accuracy of your model can be improved with thoughtful feature engineering.
\nExplore the impact of the algorithm parameters on model strength<\/p>\n

To be successful in this course, you should have at least beginner-level background in Python programming (e.g., be able to read and code trace existing code, be comfortable with conditionals, loops, variables, lists, dictionaries and arrays). You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean\/median\/mode).<\/p>\n

This is the third course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute.<\/p>\n

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Price: Enroll For Free!<\/h2>\n
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View Class<\/a><\/div>\n
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Language:<\/strong> <\/em>English<\/p>\n<\/div>\n

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Subtitles<\/strong>: <\/em>English<\/p>\n<\/div>\n<\/div>\n

Data for Machine Learning – Alberta Machine Intelligence Institute<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Description This course is all about data and how it is critical to the success of your applied machine learning model. Completing this course will give learners the skills to: Understand the critical elements of data in the learning, training and operation phases Understand biases and sources of data Implement techniques to improve the generality […]<\/p>\n","protected":false},"author":1,"featured_media":19338,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[113],"tags":[],"class_list":["post-6296","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-alberta-machine-intelligence-institute"],"aioseo_notices":[],"uagb_featured_image_src":{"full":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/Alberta-Machine-Intelligence-Instituteonline-education.png",375,224,false],"thumbnail":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/Alberta-Machine-Intelligence-Instituteonline-education-150x150.png",150,150,true],"medium":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/Alberta-Machine-Intelligence-Instituteonline-education-300x179.png",300,179,true],"medium_large":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/Alberta-Machine-Intelligence-Instituteonline-education.png",375,224,false],"large":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/Alberta-Machine-Intelligence-Instituteonline-education.png",375,224,false],"1536x1536":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/Alberta-Machine-Intelligence-Instituteonline-education.png",375,224,false],"2048x2048":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/Alberta-Machine-Intelligence-Instituteonline-education.png",375,224,false]},"uagb_author_info":{"display_name":"Axiom Pegasus","author_link":"https:\/\/www.tun.com\/courses\/author\/magic\/"},"uagb_comment_info":0,"uagb_excerpt":"Description This course is all about data and how it is critical to the success of your applied machine learning model. Completing this course will give learners the skills to: Understand the critical elements of data in the learning, training and operation phases Understand biases and sources of data Implement techniques to improve the generality…","featured_media_src_url":"https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/Alberta-Machine-Intelligence-Instituteonline-education.png","_links":{"self":[{"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/posts\/6296","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/comments?post=6296"}],"version-history":[{"count":0,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/posts\/6296\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/media\/19338"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/media?parent=6296"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/categories?post=6296"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/tags?post=6296"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}