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on 27-Nov-2025 (Thu)

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Flashcard 7767640116492

Tags
#feature-engineering #lstm #recurrent-neural-networks #rnn
Question
Feature engineering has been used broadly to refer to multiple aspects of feature creation, [...], and transformation
Answer
extraction

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Feature engineering has been used broadly to refer to multiple aspects of feature creation, extraction, and transformation

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Flashcard 7772643134732

Tags
#English #vocabulary
Question

innocuous

adjective

UK /ɪˈnɒkjuəs/ US

not likely to upset or [...] anyone

Answer

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






Annotation 7772770536716

#RNN #ariadne #behaviour #consumer #deep-learning #patterns #priority #recurrent-neural-networks #retail #simulation #synthetic-data
It is interesting to explore deeper structures of the model in auto- encoder and recursion levels. Clumpiness is another variable which can be studied as an additive to R, F, and M (i.e. RFMC) variable
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ty number, R, F, and M). The proposed model is the first of its kind in the literature and has many opportunities for further improvement. The model can be improved by using more training data. <span>It is interesting to explore deeper structures of the model in auto- encoder and recursion levels. Clumpiness is another variable which can be studied as an additive to R, F, and M (i.e. RFMC) variables. <span>

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Flashcard 7772772109580

Tags
#deep-learning #keras #lstm #python #sequence
Question
The goal of the backpropagation training algorithm is to modify the weights of a neural network in order to [...] of the network outputs compared to some expected output in response to corresponding inputs.
Answer
minimize the error

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The goal of the backpropagation training algorithm is to modify the weights of a neural network in order to minimize the error of the network outputs compared to some expected output in response to corresponding inputs.

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Flashcard 7772774468876

Tags
#feature-engineering #lstm #recurrent-neural-networks #rnn
Question
A response model relying [...] on seniority, recency, and frequency would not be able to distinguish between customers who have similar features but different behavioral sequence
Answer
exclusively

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A response model relying exclusively on seniority, recency, and frequency would not be able to distinguish between customers who have similar features but different behavioral sequence

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Flashcard 7772782333196

Tags
#feature-engineering #lstm #recurrent-neural-networks #rnn
Question
A response model relying exclusively on seniority, recency, and frequency would [...] to distinguish between customers who have similar features but different behavioral sequence
Answer
not be able

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A response model relying exclusively on seniority, recency, and frequency would not be able to distinguish between customers who have similar features but different behavioral sequence

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