Row 50242

Row ID: 50242 | Dataset Entry | Axioma AXP Content Repository

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That’s not bad to be fair.

If you check the chapter 5 and 6 of statistical rethinking and ignore the Bayesian modelling and read it only for the linear modelling learning that should tell you what you need to know.

You can also check “causal inference for the brave and true” chapter 1 and 2 then that should be a good starting point too.

That should fill you in, in the fastest time possible. (I.e that should get the weirdness surrounding linear models and the 2 major frameworks for causal inference.)

FieldValue
text That’s not bad to be fair. If you check the chapter 5 and 6 of statistical rethinking and ignore the Bayesian modelling and read it only for the linear modelling learning that should tell you what you need to know. You can also check “causal inference for the brave and true” chapter 1 and 2 then that should be a good starting point too. That should fill you in, in the fastest time possible. (I.e that should get the weirdness surrounding linear models and the 2 major frameworks for causal i…
label r/datascience
dataType comment
communityName r/datascience
datetime 2024-05-22
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Raw Record

{
  "text": "That’s not bad to be fair. \n\nIf you check the chapter 5 and 6 of statistical rethinking and ignore the Bayesian modelling and read it only for the linear modelling learning that should tell you what you need to know. \n\nYou can also check “causal inference for the brave and true” chapter 1 and 2 then that should be a good starting point too. \n\nThat should fill you in, in the fastest time possible. (I.e that should get the weirdness surrounding linear models and the 2 major frameworks for causal inference.)",
  "label": "r/datascience",
  "dataType": "comment",
  "communityName": "r/datascience",
  "datetime": "2024-05-22",
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}
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