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The training is very through, and covers all of it's bases. I liked the notice of the barn stars. What I didn't like. I didn't like the length of it. While the 2nd section (Editing, I believe) could have been skipped, the training could be condensed. What was missing. As stated above, the training is very through.
For detailed feedback after 21 January 2015, see Wikipedia:Training/For students/Leave feedback. Entries to this page are added via MediaWiki:Guidedtour-tour-StudentTrainingComplete.js, a guided tour launched at the end of the student training.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
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Visit our feedback form to leave an idea or feedback for our team. We collect and review all submitted feedback on a regular basis. You can also vote up existing ideas or post new feedback for the team. To search and vote for an existing idea or feedback: 1. Scroll to the bottom of the AOL Homepage. 2. Click feedback. 3.
The four levels of Kirkpatrick's evaluation model are as follows: Reaction - The degree to which participants find the training favorable, engaging and relevant to their jobs; Learning - The degree to which participants acquire the intended knowledge, skills, attitude, confidence and commitment based on their participation in the training
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