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Tags
#ML-engineering #ML_in_Action #learning #machine #software-engineering
Question
Scoping and research
If you [...] halfway through development, you’ll face a hard conversation with the business to explain that the project’s delays are due to you not doing your homework
Answer
switch your approach
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Open it Scoping and research If you switch your approach halfway through development, you’ll face a hard conversation with the business to explain that the project’s delays are due to you not doing your homework Original toplevel document (pdf)
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Tags
#deep-learning #keras #lstm #python #sequence
Question
[the success of deep neural networks] is commonly attributed to the [...] that is introduced due to the several layers. Each layer processes some part of the task we wish to solve, and passes it on to the next
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Open it [the success of deep neural networks] is commonly attributed to the hierarchy that is introduced due to the several layers. Each layer processes some part of the task we wish to solve, and passes it on to the next Original toplevel document (pdf)
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Tags
#feature-engineering #lstm #recurrent-neural-networks #rnn
Question
The LSTM neural network typology is well-suited for modeling [...], especially in time-series format. However, its performance against standard churn prediction models remains an avenue for further research
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Open it The LSTM neural network typology is well-suited for modeling churn, especially in time-series format. However, its performance against standard churn prediction models remains an avenue for further research Original toplevel document (pdf)
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Tags
#deep-learning #keras #lstm #python #sequence
Question
For example, red is 1, green is 2, and blue is 3. This is called [...] encoding or an integer encoding and is easily reversible
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Open it For example, red is 1, green is 2, and blue is 3. This is called label encoding or an integer encoding and is easily reversible Original toplevel document (pdf)
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Tags
#ML-engineering #ML_in_Action #learning #machine #software-engineering
Question
In the experimentation phase, the largest causes of project failure are either...... or an underdeveloped prototype that is so [...] bad that the business decides to move on to something else.
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Open it In the experimentation phase, the largest causes of project failure are either...... or an underdeveloped prototype that is so abysmally bad that the business decides to move on to something else. Original toplevel document (pdf)
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Tags
#RNN #ariadne #behaviour #consumer #deep-learning #patterns #priority #recurrent-neural-networks #retail #simulation #synthetic-data
Question
The RNNs are made of [...] hidden states with non-linear dynamics.
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Open it The RNNs are made of high dimensional hidden states with non-linear dynamics. Original toplevel document (pdf)
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Tags
#recurrent-neural-networks #rnn
Question
Contrary to subscription-based or [...] settings where customer ‘‘churn” events are directly observable, customer defection in non-contractual business settings is by definition unobserved by the firm and thus needs to be indirectly inferred from past transaction behavior (Reinartz & Kumar, 2000; Gupta et al., 2006).
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Open it Contrary to subscription-based or contractual settings where customer ‘‘churn” events are directly observable, customer defection in non-contractual business settings is by definition unobserved by the firm and thus needs to be indOriginal toplevel document (pdf)
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Tags
#feature-engineering #lstm #recurrent-neural-networks #rnn
Question
The [...] processes the entire sequence of available data without having to summarize it into features.
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Open it The RNN processes the entire sequence of available data without having to summarize it into features. Original toplevel document (pdf)
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Open it 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.
#English #sentence_mining #vocabulary
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Open it 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.
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