Difference between revisions of "Semi-Supervised"
(Created page with "[http://www.youtube.com/results?search_query=semi-supervised+Machine+Learning+artificial+intelligence YouTube search...] As the name suggests, semi-supervised learning is a b...") |
|||
| Line 5: | Line 5: | ||
http://s3.amazonaws.com/static2.simplilearn.com/ice9/free_resources_article_thumb/Machine_Learning_4.jpg | http://s3.amazonaws.com/static2.simplilearn.com/ice9/free_resources_article_thumb/Machine_Learning_4.jpg | ||
| − | <youtube> | + | <youtube>b-yhKUINb7o</youtube> |
| − | <youtube> | + | <youtube>vM1Y3n3Rgeg</youtube> |
| + | <youtube>YBt6_j0FCUg</youtube> | ||
| + | <youtube>iMPei4m1H4w</youtube> | ||
Revision as of 08:16, 3 June 2018
As the name suggests, semi-supervised learning is a bit of both supervised and unsupervised learning and uses both labeled and unlabeled data for training. In a typical scenario, the algorithm would use a small amount of labeled data with a large amount of unlabeled data. This type of learning can again be used with methods such as classification, regression, and prediction. Examples of semi-supervised learning would be face and voice recognition techniques. Machine Learning: What it is and Why it Matters | simplilearn
