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.
For each of the following variables, identify the type of variable (categorical vs. numeric). (I) Satisfaction level on a survey (e.g. very dissatisfied, satisfied, very satisfied, etc.) (II) Duration (in minutes) of a flight between two locations 1) (I) Categorical, and (II) Categorical 2) (I) Categorical, and (II) Numeric 3) (I) Numeric, and (II) Categorical 4) There is no correct match 5) (I) Numeric, and (II) Numeric
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.