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Flashcard 7687698779404

Tags

#DAG #causal #edx

Question

Of course, in many cases we don't have enough expert knowledge to draw the true causal DAG that represents a causal structure of treatment A, outcome Y, and potential confounder L. In those cases we may propose [...] causal DAGs without being able choose a particular one. And that's fine, because those causal DAGs that we propose allow us to identify inconsistencies between our beliefs and our actions.

Answer

several possible

status	not learned	measured difficulty	37% [default]	last interval [days]
repetition number in this series	0	memorised on		scheduled repetition
scheduled repetition interval		last repetition or drill

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y cases we don't have enough expert knowledge to draw the true causal DAG that represents a causal structure of treatment A, outcome Y, and potential confounder L. In those cases we may propose <span>several possible causal DAGs without being able choose a particular one. And that's fine, because those causal DAGs that we propose allow us to identify inconsistencies between our beliefs and our actio

Original toplevel document (pdf)

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Flashcard 7687700876556

How we can improve model (in the particular stage of the process)?

# 2. Compiling: change optimizer or its parameters (eg. [...])

Answer

learning rate

status	not learned	measured difficulty	37% [default]	last interval [days]
repetition number in this series	0	memorised on		scheduled repetition
scheduled repetition interval		last repetition or drill

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How we can improve model (in the particular stage of the process)? # 2. Compiling: change optimizer or its parameters (eg. learning rate)

Original toplevel document

TfC 01 regression
#### How we can improve model # 1. Creating model: add more layers, increase numbers of hidden neurons, change activation functions # 2. Compiling: change optimizer or its parameters (eg. learning rate) # 3. Fitting: more epochs, more data ### How? # from smaller model to larger model Evaluating models Typical workflow: build a model -> fit it -> evaulate -> tweak -> fit > evaluate -> .... Building model: experiment Evaluation model: visualize What

Flashcard 7687717391628

Question

123123

Answer

345345345

status	not learned	measured difficulty	37% [default]	last interval [days]
repetition number in this series	0	memorised on		scheduled repetition
scheduled repetition interval		last repetition or drill

Flashcard 7687718702348

Question

dfgdhdfghdfgh

Answer

dfghdfghdfghdfghdfgh

status	not learned	measured difficulty	37% [default]	last interval [days]
repetition number in this series	0	memorised on		scheduled repetition
scheduled repetition interval		last repetition or drill

Edited, memorised or added to reading queue

on 19-Mar-2025 (Wed)

Flashcard 7687698779404

Parent (intermediate) annotation

Original toplevel document (pdf)

Flashcard 7687700876556

How we can improve model (in the particular stage of the process)?

Parent (intermediate) annotation

Original toplevel document

Flashcard 7687717391628

Flashcard 7687718702348