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on 14-Sep-2022 (Wed)

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#abm #agent-based #machine-learning #model #priority
we expanded the framework[WHAT TYPE OF FRAMEWORK????] to an iterative process, thereby increasing its scope to systems that cannot be explored well using random agent decisions
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Flashcard 7550369139980

Tags
#RNN #ariadne #behaviour #consumer #deep-learning #patterns #priority #recurrent-neural-networks #retail #simulation #synthetic-data
Question
The [...] models use different strategies for customer behaviour modelling. One of the most reliable ones is using the recency (R), frequency (F), and monetary value (M) variables, called RFM [3], [4], [5]
Answer
CLV

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The CLV models use different strategies for customer behaviour modelling. One of the most reliable ones is using the recency (R), frequency (F), and monetary value (M) variables, called RFM [3]

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Flashcard 7550372547852

Tags
#causality #has-images #statistics


Question
We refer to the flow of association along directed paths as [...] association
Answer
causal

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We refer to the flow of association along directed paths as causal association

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Flashcard 7550377790732

Question
Why use a survey to ask customers about their experiences when data about customer interactions can be used to predict both satisfaction and the likelihood that a customer will remain [...], bolt, or even increase business?
Answer
loyal

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an> Why use a survey to ask customers about their experiences when data about customer interactions can be used to predict both satisfaction and the likelihood that a customer will remain loyal, bolt, or even increase business? <span>

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Flashcard 7550381722892

Tags
#abm #agent-based #machine-learning #model #priority #synergistic-integration
Question
Traditionally, two modeling methodologies, known as [...] and bottom-up, modeling approaches have been widely applied to model complex systems
Answer
top-down

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Traditionally, two modeling methodologies, known as top-down and bottom-up, modeling approaches have been widely applied to model complex systems

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[unknown IMAGE 7093205732620] #DAG #causal #edx #has-images
In those cases we say that L is a surrogate confounder or a proxy confounder. In summary, in any given causal DAG confounding is an absolute concept, but confounder is a relative concept
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U. In those cases, it is generally better to adjust for L, because even though adjusting for L will not eliminate all confounding by U, it will typically eliminate some of the confounding by U. <span>In those cases we say that L is a surrogate confounder or a proxy confounder. In summary, in any given causal DAG confounding is an absolute concept, but confounder is a relative concept <span>

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Flashcard 7550385392908

Tags
#RNN #ariadne #behaviour #consumer #deep-learning #priority #recurrent-neural-networks #retail #simulation #synthetic-data
Question
RNNs operate on sequences of varying lengths and therefore provide an appropriate match to consumer [...].
Answer
histories

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RNNs operate on sequences of varying lengths and therefore provide an appropriate match to consumer histories.

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Flashcard 7550387752204

Tags
#English #vocabulary
Question

innocuous

adjective

UK /ɪˈnɒkjuəs/ US

not likely to [...] or harm anyone

Answer

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innocuous adjective UK /ɪˈnɒkjuəs/ US not likely to upset or harm anyone