Row 4714
Content Data
This page contains data entry 4714 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
We are recruiting for senior ml engineer in nlp.
In the past , I have relied on standard filtering questions . But I am wondering if it’s unfair for new engineers who may never use these technology in their project and if it is no longer a measure of what engineers do these days.
We do have a resounds of craft demo where we ask relevant tech and technical questions.
But wanted to hear about the initial filtering round Things I wondering if I should stop asking: - Bias vs Variance and similar “stats” concepts on training - Topic modeling techniques and similar “older nlp” - Bootstrapping techniques. bagging and similar techniques - entropy, impurity and other “information theory” questions.
We couldn’t come to a consensus in our team. Would love your thoughts
| Field | Value |
|---|---|
| text | We are recruiting for senior ml engineer in nlp. In the past , I have relied on standard filtering questions . But I am wondering if it’s unfair for new engineers who may never use these technology in their project and if it is no longer a measure of what engineers do these days. We do have a resounds of craft demo where we ask relevant tech and technical questions. But wanted to hear about the initial filtering round Things I wondering if I should stop asking: - Bias vs Variance and simila… |
| label | r/machinelearning |
| dataType | post |
| communityName | r/MachineLearning |
| datetime | 2024-04-20 |
| username_encoded | Z0FBQUFBQm5Lakwxc1U5S2F4VFhta2VxeVRFRl9MalNnNEVYcUgxdlhFbm9wQzZYYklxbGxTSnJMYVFCSFZnZkhCd092ZmRLeXI2NEdVaVFHOS01YzA0TTdPUEc2aHkzMXc9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9GcllNUlZlUkZpV2JmOW8xLWUwXzZXWDBuTlpTWlQ0SXd0QUhhRC1qUHdtUTBsMHpOd1gzODVBQlItVTJKQkN0dVN3bVktdGU1WW1DQTFYa2djelJTZFI2MDhqMkpPSWtnY0JFRmRGYkxrQlVrNXRxVklicGR5UThEODQ0RC1PNjRPa3BYUWJHY01KalpiWlZVQUEzcm9YLXhSUkhIYWxlUEJSMk5aTXR6VnAwWVh2VmEtbEcteThnWDI1cmtJcE4xSUprSDZDMmlIaEZ4Q0JMWGZ5WHl0Zz09 |
Raw Record
{
"text": "We are recruiting for senior ml engineer in nlp. \n\nIn the past , I have relied on standard filtering questions . But I am wondering if it’s unfair for new engineers who may never use these technology in their project and if it is no longer a measure of what engineers do these days.\n\nWe do have a resounds of craft demo where we ask relevant tech and technical questions. \n\nBut wanted to hear about the initial filtering round Things I wondering if I should stop asking:\n- Bias vs Variance and similar “stats” concepts on training \n- Topic modeling techniques and similar “older nlp”\n- Bootstrapping techniques. bagging and similar techniques\n- entropy, impurity and other “information theory” questions. \n\nWe couldn’t come to a consensus in our team. Would love your thoughts",
"label": "r/machinelearning",
"dataType": "post",
"communityName": "r/MachineLearning",
"datetime": "2024-04-20",
"username_encoded": "Z0FBQUFBQm5Lakwxc1U5S2F4VFhta2VxeVRFRl9MalNnNEVYcUgxdlhFbm9wQzZYYklxbGxTSnJMYVFCSFZnZkhCd092ZmRLeXI2NEdVaVFHOS01YzA0TTdPUEc2aHkzMXc9PQ==",
"url_encoded": "Z0FBQUFBQm5Lak9GcllNUlZlUkZpV2JmOW8xLWUwXzZXWDBuTlpTWlQ0SXd0QUhhRC1qUHdtUTBsMHpOd1gzODVBQlItVTJKQkN0dVN3bVktdGU1WW1DQTFYa2djelJTZFI2MDhqMkpPSWtnY0JFRmRGYkxrQlVrNXRxVklicGR5UThEODQ0RC1PNjRPa3BYUWJHY01KalpiWlZVQUEzcm9YLXhSUkhIYWxlUEJSMk5aTXR6VnAwWVh2VmEtbEcteThnWDI1cmtJcE4xSUprSDZDMmlIaEZ4Q0JMWGZ5WHl0Zz09"
}
Entry Information
- Entry ID: 4714
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000