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on 28-Jul-2025 (Mon)

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Flashcard 7718764678412

Tags
#ML-engineering #ML_in_Action #learning #machine #software-engineering
Question

ML engineers

They need just enough [...] skills to build (and schedule the ETL for) feature datasets for their models, but not to construct a petabyte-scale streaming ingestion framework.

Answer
data engineering

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

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ML engineers They need just enough data engineering skills to build (and schedule the ETL for) feature datasets for their models, but not to construct a petabyte-scale streaming ingestion framework.

Original toplevel document (pdf)

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Flashcard 7718766775564

Tags
#abm #agent-based #has-images #machine-learning #model #priority
[unknown IMAGE 7096340712716]
Question
During the Experience phase agents make [...] and add new entries to the database consisting of a vector with all their sensory input, the randomly chosen action and the result, i.e. if the score increased, decreased or stayed the same due to this decision.
Answer
random decisions

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
During the Experience phase agents make random decisions and add new entries to the database consisting of a vector with all their sensory input, the randomly chosen action and the result, i.e. if the score increased, decreased or stayed the

Original toplevel document (pdf)

cannot see any pdfs