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AIDA 181 Big Data Analytics for Risk and Insurance 2025: Exam Guide & Study Materials

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Master AIDA 181 in 2025. This guide covers big data analytics applications in risk assessment and insurance, featuring key concepts, models, and computational methods for actuarial science.

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AIDA 181 - BIG DATA ANALYTICS FOR RISK AND

INSURANCE EXAMS | QUESTIONS AND VERIFIED

ANSWERS | 100% CORRECT (LATEST 2025 UPDATES

STUDY BUNDLE WITH COMPLETE SOLUTIONS)

big data .....ANSWER.....Sets of data that are too large to be

gathered and analyzed by traditional methods.

law of large numbers .....ANSWER.....A mathematical principle

stating that as the number of similar but independent exposure

units increases, the relative accuracy of predictions about future

outcomes (losses) also increases.

data mining .....ANSWER.....The analysis of large amounts of

data to find new relationships and patterns that will assist in

developing business solutions.

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text mining .....ANSWER.....Obtaining information through

language recognition; the analysis of text for classification and

prediction

telematics .....ANSWER.....The use of technological devices in

vehicles with wireless communication and GPS tracking that

transmit data to businesses or government agencies; some return

information for the driver.

Internet of Things (IoT) .....ANSWER.....A network of objects that

transmit data to and from each other without human interaction

machine learning .....ANSWER.....artificial intelligence in which

computers continually teach themselves to make better decisions

based on previous results and new data

artificial intelligence .....ANSWER.....computer processing or

output that simulates human reasoning or knowledge

data science .....ANSWER.....An interdisciplinary field involving

the design and use of techniques to process very large amounts

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of data from a variety of sources and to provide knowledge

based on the data.

structured data .....ANSWER.....Data organized into databases

with defined fields, including links between databases.

unstructured data .....ANSWER.....Data that is not organized into

predetermined formats, such as databases, and often consists of

text, images, or other nontraditional media.

internal data .....ANSWER.....data that is owned by an

organization

external data .....ANSWER.....data that belongs to an entity other

than the organization that wishes to acquire and use it

economic data .....ANSWER.....Data regarding interest rates,

asset prices, exchange rates, the Consumer Price Index, and

other information about the global, the national, or a regional

economy.

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geodemographic data .....ANSWER.....data regarding

classifications of a population

algorithm .....ANSWER.....an operational sequence used to solve

mathematical problems and to create computer programs

Cross Industry Standard Process for Data Mining (CRISP-DM)

.....ANSWER.....an accepted standard for the steps in any data

mining process used to provide business solutions

domain knowledge .....ANSWER.....Information related to the

context of the information a data scientist is working with.

data-driven decision making .....ANSWER.....An organizational

process to gather and analyze relevant and verifiable data and

then evaluate the results to guide business strategies.

descriptive decision making .....ANSWER.....applied when an

insurer or risk manager has a specific problem that could be

solved through data science

Connected book
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Tommy Blanchard, Debasish Behera, Pranshu Bhatnagar Data Science for Marketing Analytics
Publisher: 30 maart 2019 ISBN: 9781789952100 Edition: 1

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