Quantitative data can be numeric or non-numeric. O True False
Quantitative data can be numeric or non-numeric. O True False Data acquisition is generally thought to be costless. O True False
QUESTION 5 What are two categories of numeric data? a. Categorical and finite O . Nominal and categorical O counted and discrete d-Discrete and continuous QUESTION 6 True or false? S-curves, j-curves, and u-curves are all examples of nonlinear associations. True O False QUESTION 7 True or false? It is important to know whether associations in the data are linear or nonlinear because linear and nonlinear associations require different statistical tests. True False QUESTION 8 The graph of the frequency...
What is different in letting machine learning algorithms to learn about numeric data versus categorical data?
Encryption true or false true false - passwords can be encrypted by non decryptable algorithms true false - traffic over a network can be encrypted by a non decryptable algorithm true false - passwords can be encrypted and salted several times true Ofalse - non decryptable algorithms do not have a rainbow
TRUE OR FALSE numeric analysis subject TRUE OR FALSE a) Interpolation is the proccess of finding and evaluating a differientable function whose graph goes through a set of given points. b) Divided differences are invariant under the permutation of the indexes of the data set. c) A spline function is a smooth interpolation d) For -1 LX 41 the expression (narccos x) is a polynomial of degree n.
15-For Regression problems, target variable is and for Classification, target variable is A) Numeric, Categorical B) Categorical, Numeric C) Numeric, Binary D) Both a or c 16- The default regularization in both logistics and ridge regression is A) L1 B) L3 C) L2 D) Both a and c
TRUE OR FALSE numeric analysis subject 6) Divided differences are invariant under the permutation of the indexes of the data set. (c) A spline function is a smooth interpolation d) For -1 2x1 the expression (narccos x) is a polynomial of degree n. e) Simpson's rule uses a quadratic interpolation of a function on a closed interval
1. True or False: Non-linear quality constraints can never be rewritten as linear constraints. 2. True or False: Every optimization problem with linear constraints is a linear programming problem.
Network Encryption false -Can be used on compressed data true true Ofalse - can not be used for TCP messages true false - public key privite key pairs are created independently true false - Is handled in the Presentation layer In the OSI model Record Answer