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on 06-Nov-2025 (Thu)

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Flashcard 7767637495052

Tags
#deep-learning #has-images #keras #lstm #python #sequence
[unknown IMAGE 7104054824204]
Question
For example, if we had two time steps and one feature for a univariate sequence with two lag observations per [...], it would be specified as on listing 4.5
Answer
row

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

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For example, if we had two time steps and one feature for a univariate sequence with two lag observations per row, it would be specified as on listing 4.5

Original toplevel document (pdf)

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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

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

Parent (intermediate) annotation

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

Original toplevel document (pdf)

cannot see any pdfs