PA (Hard level) Flashcards

1
Q

an statistical method used to
generate recommendations and make decisions
based on the computational findings of algorithmic
models

A

Prescriptive Analytics

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2
Q

which involves combining data from
multiple sources to infer patterns and model complex circumstances

A

Complex event processing

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3
Q

combinations of various machine learning
algorithms designed to process complex data

A

Neural Networks

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4
Q

which are computer algorithms
designed to predict positive or negative preference based on what
users have chosen in the past

A

Recommendation Engines

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5
Q

alternative methods of problem solving that can
approximate an answer when finding a definite one fails

A

Hueristics

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6
Q

is a data analytics tool designed by marketers, for
marketers, and provides a way for them to get all of their data in
one place, in real-time through automated dashboards and reports

A

Improvado

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7
Q

offers artificial intelligence and
prescriptive analytics to companies through an open
and extensive data analytics platform. This centralized
platform features a powerful and robust graphical
interface that enables users to create, maintain, and
deliver predictive analytics. The tool also includes
scripting support in multiple programming languages

A

RapidMiner

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8
Q

lets users easily transform their data into stunning
interactive reports. The tool’s visualization capabilities include a
drag-and-drop, simple user interface, which allows for charts and
more complex graphics, along with interactive visualizations, to
be easily created

A

Sisense

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9
Q

is an open source BI tool for data integration, reporting,
and analytics. It features a visual interface that includes nodes
for a range of activities, from extracting data to presenting it.
The platform is primarily focused on statistical models.

A

Knime

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10
Q

is a business intelligence tool
that helps organizations turn their data
into impactful, actionable insights

A

Tableau

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11
Q

offers data blending and analyzing features in a one
prescriptive analytics tool. The platform provides deployable analytics, makes
use of repeatable workflow, and then shares the derived analytics to provide
deeper data insights in just hours.

A

Alteryx

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12
Q

a web-based business intelligence and prescriptive analytics tool
that connects insights from multiple teams, allowing companies to make better informed decisions, and offering optimization and automation for the entire BI
process. The platform’s unique approach connects every user to a shared
analytical network that can be easily accessed and extended.

A

Birst

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13
Q

data and marketing tool famous for its versatility of use. It
is able to interface with some of the biggest names in the cloud service
provider industry, including Amazon AWS, Microsoft Azure, and Google
Cloud.

A

Talend

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14
Q

browser-based platform that offers a unique modeling
language. Operating 100% in-database, the tool capitalizes on the newest and
fastest analytic databases to get real-time results. It makes it relatively easy for
users to choose, create, and customize a wide variety of interactive
visualizations, providing numerous graphs and charts and graphs to choose
from.

A

Looker

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15
Q

it provides the central topic in optimization. It a powerful tool in modeling many applications

A

Linear Programming

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16
Q

attracted its attention in optimization for two main reasons:

A
  1. Applicability
  2. Solvability
17
Q

Describe our choices that are under control

A

decision variable

18
Q

describe a criterion that we wish to minimize or maximize

A

objective function

19
Q

describe the limitation that restricts our choices for decision variable

A

constraints

20
Q

refer to optimization problem in which the objective function is linear and each constraint is a linear inequality or equality

A

linear programming

21
Q

represent all possible solution to the problem

A

Feasible set

22
Q

vertex of the feasible set

A

corner point

23
Q

the point that maximizes or minimizes the objective function

A

optimal solution

24
Q

maximum or minimum value of the function

A

optimal value

25
Q

the optimal solution to a linear programming problem exists and must occur at a vertex of the feasible set

A

fundamental theorem of linear programming

26
Q

if the optimal solution occurs at two adjacent vertices of the feasible set, then the linear programming problem has infinitely many solutions. any point on the line segment joining the two vertices is also a solution

A

fundamental theorem of linear programming

27
Q

a set that has no bound and continues indefinitely

A

unbounded set

28
Q

a set that has a boundary around the feasible set

A

bounded set

29
Q

function of solver tool in excel

A
  1. may be used to solve linear and nonlinear optimization problems
  2. allows integer or binary restrictions to be placed on decision variables.
  3. can be used to solve problems with up to 200 decision variables
30
Q

Optimization problem involves

A
  1. maximum profit
  2. Minimum cost
  3. Minimum use of resources
31
Q

it aims to find the optimum solution subject to the constraints of the problem

A

optimization problems

32
Q

techniques which help us to find the optimal solution for a given problem

A

Linear Programming

33
Q

exist because certain limitations restrict the range of variable’s possible values

A

Constraints

34
Q

considered to be binding if changing it also chnages the optimal solution

A

constraints

35
Q

less sever constraints that do not affect the optimal solution are non binding

A

constraints

36
Q

is a constratint whose value satisfies the optimal solution andvthat any changes in its value changes the optimal solution

A

Binding Constraints

37
Q

Difference between the final value and the constraints right hand

A

Slack/surplus value