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on 10-Feb-2026 (Tue)

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Flashcard 7796560629004

Tags
#causality #statistics
Question
Causal edges assumption is asymmetric; “ 𝑋 is a cause of 𝑌 ” is [...] as saying “ 𝑌 is a cause of 𝑋
Answer
not the same

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Causal edges assumption is asymmetric; “ 𝑋 is a cause of 𝑌 ” is not the same as saying “ 𝑌 is a cause of 𝑋

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Flashcard 7796563512588

Tags
#abm #agent-based #machine-learning #model #priority #synergistic-integration
Question
Semisupervised learning - an approach that combines a small amount of labeled data with a [...] of unlabeled data during training
Answer
large amount

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scheduled repetition interval               last repetition or drill

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Semisupervised learning - an approach that combines a small amount of labeled data with a large amount of unlabeled data during training

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Flashcard 7796566134028

Tags
#feature-engineering #lstm #recurrent-neural-networks #rnn
Question
Using an RNN where all firm actions and customer responses are represented by elements in a vector. For instance, suppose a firm solicits customers either through phone, mail, or email (three channels), and customers may purchase across 17 product categories. All the analyst has to do is to encode each observation period (e.g., a day, a week, a month) as a vector of size [...], where all the values are equal to 0, except when a solicitation is sent, or a purchase is observed.
Answer
20

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mail (three channels), and customers may purchase across 17 product categories. All the analyst has to do is to encode each observation period (e.g., a day, a week, a month) as a vector of size <span>20, where all the values are equal to 0, except when a solicitation is sent, or a purchase is observed. <span>

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