際際滷shows by User: ShrutiChaudhari / http://www.slideshare.net/images/logo.gif 際際滷shows by User: ShrutiChaudhari / Sun, 26 Jul 2020 11:52:17 GMT 際際滷Share feed for 際際滷shows by User: ShrutiChaudhari MLA_Confusion Matrix for Classification /slideshow/mlaconfusion-matrix-for-classification/237257881 unitiipartii-200726115217
Confusion Matrix for Classification]]>
Confusion Matrix for Classification]]> Sun, 26 Jul 2020 11:52:17 GMT /slideshow/mlaconfusion-matrix-for-classification/237257881 ShrutiChaudhari@slideshare.net(ShrutiChaudhari) MLA_Confusion Matrix for Classification ShrutiChaudhari Confusion Matrix for Classification <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/unitiipartii-200726115217-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Confusion Matrix for Classification
MLA_Confusion Matrix for Classification from Shruti Chaudhari
]]> 194 0 https://cdn.slidesharecdn.com/ss_thumbnails/unitiipartii-200726115217-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 MLA_CLASSIFICATION /slideshow/mlaunit-iiparti/237235201 unitiiparti-200725081307
Machine learning is a field of study and is concerned with algorithms that learn from examples. Classification is a task that requires the use of machine learning algorithms that learn how to assign a class label to examples from the problem domain.]]>
Machine learning is a field of study and is concerned with algorithms that learn from examples. Classification is a task that requires the use of machine learning algorithms that learn how to assign a class label to examples from the problem domain.]]> Sat, 25 Jul 2020 08:13:07 GMT /slideshow/mlaunit-iiparti/237235201 ShrutiChaudhari@slideshare.net(ShrutiChaudhari) MLA_CLASSIFICATION ShrutiChaudhari Machine learning is a field of study and is concerned with algorithms that learn from examples. Classification is a task that requires the use of machine learning algorithms that learn how to assign a class label to examples from the problem domain. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/unitiiparti-200725081307-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Machine learning is a field of study and is concerned with algorithms that learn from examples. Classification is a task that requires the use of machine learning algorithms that learn how to assign a class label to examples from the problem domain.
MLA_CLASSIFICATION from Shruti Chaudhari
]]> 63 0 https://cdn.slidesharecdn.com/ss_thumbnails/unitiiparti-200725081307-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/unitiipartii-200726115217-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/mlaconfusion-matrix-for-classification/237257881 MLA_Confusion Matrix f... https://cdn.slidesharecdn.com/ss_thumbnails/unitiiparti-200725081307-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/mlaunit-iiparti/237235201 MLA_CLASSIFICATION