Row 5936

Row ID: 5936 | Dataset Entry | Axioma AXP Content Repository

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https://netflixtechblog.com/tagged/experimentation

If you check out this link you will see many articles about how much of a focus Netflix puts into experimentation. They actually explore the literature for better methods for doing large scale experimentation, and it’s a huge component of their DS workflow

However, I’m curious as to if every company is like this, because it seems like everyone else is just “okay” with taking arbitrary sample sizes, arbitrary metrics, and don’t think as critically as Netflix does about experimentation. I mean if you read their work on this blog they go as far as coming up with faster bootstrapping algorithms, sequential approaches to hypothesis testing, and really treat the design of experiments problem as the major focus where everyone else just skips that and thinks about how to build the best predictive model

FieldValue
text https://netflixtechblog.com/tagged/experimentation If you check out this link you will see many articles about how much of a focus Netflix puts into experimentation. They actually explore the literature for better methods for doing large scale experimentation, and it’s a huge component of their DS workflow However, I’m curious as to if every company is like this, because it seems like everyone else is just “okay” with taking arbitrary sample sizes, arbitrary metrics, and don’t think as critica…
label r/datascience
dataType post
communityName r/datascience
datetime 2024-05-05
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Raw Record

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  "text": "https://netflixtechblog.com/tagged/experimentation\n\nIf you check out this link you will see many articles about how much of a focus Netflix puts into experimentation. They actually explore the literature for better methods for doing large scale experimentation, and it’s a huge component of their DS workflow\n\nHowever, I’m curious as to if every company is like this, because it seems like everyone else is just “okay” with taking arbitrary sample sizes, arbitrary metrics, and don’t think as critically as Netflix does about experimentation. I mean if you read their work on this blog they go as far as coming up with faster bootstrapping algorithms, sequential approaches to hypothesis testing, and really treat the design of experiments problem as the major focus where everyone else just skips that and thinks about how to build the best predictive model\n\n",
  "label": "r/datascience",
  "dataType": "post",
  "communityName": "r/datascience",
  "datetime": "2024-05-05",
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