Suppose you are given a data set consisting of nominal attributes, such as color, which takes values such as red, blue, green etc. can you use this data set directly to train an svm? if not, how will you transform a nominal attribute into a representation that can be used to train an svm? b. list a key similarity and a key difference between bagging and boosting.

Match the following. 1. show grouping of word processing tasks that can be performed quick access toolbar 2. shortcut location for commonly used elements scroll bars 3. organized commands used to modify documents ribbon 4. used to align and measure content in a word screen zoom bar 5. vertical and horizontal bars that are used to navigate through a document contextual tabs 6. displays the name of the document in use ruler 7. allows users to enlarge or shrink a visual of a word document title bar

Kto rozmawia z clamentain przez krótkofalówke w the walking dead w 4 epizodzie

What does a bonus object do? a. subtracts lives b. keeps track of a player's health c. gives a player an advantage d. makes text appear