Adata scientist makes his argument for using trees and random forests: “trees and random forests are superior to machine learning methods, such as support vector machines and neural networks, because trees are unaffected by monotonic transformations of the explanatory variables.” how would you go about testing the transformation-invariance argument (with python and scikit-learn, for example) ?

For each of the following claims, determine whether they are true or false. justify your determination (show your work). if the claim is false, state the correct asymptotic relationship as o, θ, or ω. unless otherwise specified, lg is log2.(a) (b) (c) (d) (e) (f) (g) (h) (i) (j)n+1 =22n =2n =1 =ln2 n =n2 +2n−4 =33n = 2n+1 =√n = 10100 =o(n4) o(2n)θ(2n+7 ) o(1/n)θ(lg2 n) ω(n2 )θ(9n ) θ(2n lg n )o(lg n) θ(1)

Auniversity wants to install a client-server network. which feature do you think is important for them as they set up the network? sending email blocking multiple people to use the same file low security low set up cost limited access to files

Arecipients list has been loaded into a document. which commands should be clicked in order to filter the list so that letters will not be printed for recipients who live in a certain state? mailings tab, start mail merge, select recipients, type new list, then insert only contacts from the desired states mailings tab, rules, select recipients, use existing list, then choose a recipients list that includes only contacts in certain states mailings tab, select recipients, use existing list, rules, fill in, then type in certain states mailings tab, rules, skip record select “state” under field name, then type in the state name under “equal to”