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on 15-Feb-2026 (Sun)

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Flashcard 7798563671308

Tags
#recurrent-neural-networks #rnn
Question
In this specific domain of customer base analysis, probabilistic approaches from the ‘‘Buy ’Till You Die” (BTYD) model family represent the gold standard, leveraging easily observable Recency and Frequency (RF, or RFM when including also the monetary value) metrics together with a [...] attrition process to deliver accurate predictions (Schmittlein, Morrison, & Colombo, 1987; Fader, Hardie, & Lee, 2005; Fader & Hardie, 2009)
Answer
latent

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uy ’Till You Die” (BTYD) model family represent the gold standard, leveraging easily observable Recency and Frequency (RF, or RFM when including also the monetary value) metrics together with a <span>latent attrition process to deliver accurate predictions (Schmittlein, Morrison, & Colombo, 1987; Fader, Hardie, & Lee, 2005; Fader & Hardie, 2009) <span>

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nie do obrony lub utrzymania

Examples:

Following the scandal, the minister resigned saying that his position had become untenab

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untenable adjective formal uk /ʌnˈtenəbl/ us If an argument, action, or situation is untenable, it cannot be supported or defended from criticism. nie do obrony lub utrzymania an untenable position Examples: Following the scandal, the minister resigned saying that his position had become untenable The government’s actions are untenable as they break the promises made before the last election.




Flashcard 7798569438476

Tags
#English #sentence_mining #vocabulary
Question
It was an abysmally [...] interview. (in an extreme and bad way:)
Answer

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It was an abysmally poor interview. (in an extreme and bad way:)

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abysmally adverb uk /əˈbɪz.məl.i/ us /əˈbɪz.məl.i/ Add to word list in an extreme and bad way: It was an abysmally poor interview. The critics were abysmally wrong on almost every point.







Flashcard 7798573632780

Tags
#deep-learning #keras #lstm #python #sequence
Question
Unfortunately, the range of contextual information that standard RNNs can access is in practice quite limited. The problem is that the influence of a given input on the hidden layer, and therefore on the network output, [...] exponentially as it cycles around the network’s recurrent connections.
Answer
either decays or blows up

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f contextual information that standard RNNs can access is in practice quite limited. The problem is that the influence of a given input on the hidden layer, and therefore on the network output, <span>either decays or blows up exponentially as it cycles around the network’s recurrent connections. <span>

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Flashcard 7798575467788

Tags
#recurrent-neural-networks #rnn
Question
In subscription-based or contractual settings customer ‘‘churn” events [...] observable,
Answer
are directly

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In subscription-based or contractual settings customer ‘‘churn” events are directly observable,

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