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on 01-Dec-2025 (Mon)

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Flashcard 7773196520716

Tags
#feature-engineering #lstm #recurrent-neural-networks #rnn
Question
While an RNN can carry forward useful information from one timestep to the next, however, it is much less effective at capturing long-term dependencies (Bengio, Simard, & Frasconi, 1994; Pascanu, Mikolov, & Bengio, 2013). This limitation turns out to be a crucial problem in [...] analytics.
Answer
marketing

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it is much less effective at capturing long-term dependencies (Bengio, Simard, & Frasconi, 1994; Pascanu, Mikolov, & Bengio, 2013). This limitation turns out to be a crucial problem in <span>marketing analytics. <span>

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Annotation 7773756460300

#RNN #ariadne #behaviour #consumer #deep-learning #priority #retail #simulation #synthetic-data
Given that every demand planner works on a narrow segment of item portfolio, there is a high variability in choices that different planners recommend. Additionally, the demand planners might not get enough opportunities to discuss their views and insights over their recommendations. Hence, subtle effects like cannibalization [21], and item affinity remain unaccounted for. Such inefficiencies lead to a gap between consumer needs and item availability, resulting in the loss of business opportunities in terms of consumer churn, and out-of-stock and excess inventory
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. Also, certain sales and marketing strategies like Offer Personalization and personalized item recommendations are made leveraging results of consumer purchase predictions for the near future. <span>Given that every demand planner works on a narrow segment of item portfolio, there is a high variability in choices that different planners recommend. Additionally, the demand planners might not get enough opportunities to discuss their views and insights over their recommendations. Hence, subtle effects like cannibalization [21], and item affinity remain unaccounted for. Such inefficiencies lead to a gap between consumer needs and item availability, resulting in the loss of business opportunities in terms of consumer churn, and out-of-stock and excess inventory <span>

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Flashcard 7773758557452

Tags
#Docker
Question

Docker look at the log of an [...] container (with timestamps)

docker logs -t [NAZWA KONTENERA]
Answer
exited

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Open it
Docker look at the log of an exited container (with timestamps) docker logs -t [NAZWA KONTENERA]