Row 4975
Content Data
This page contains data entry 4975 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
I am a statistics & machine learning researcher. I have invented some new methods, built packages in C++, R, and Python. I am also a machine learning consultant (part-time), but I usually tell people what to do and give feedback rather than do things myself. I don't like this experience though.
So you can see, I probably know lots about theory, methodology & practical applications. However, I always want to switch to a more "technical" position after getting a PhD, i.e. machine learning engineer or SWE with focus on ML. I do feel like not having a formal training in SWE and CS would make me unemployable in the MLE field, so I always want to take some online SWE courses/programs to fill in the gap.
My goal is to know about the engineering process behind SWE and to take relevant technical SWE/CS courses that most SWE/CS students do. You know, I can code, but it doesn't mean I will be a good MLE 🤣
Do you have any suggestions? Like a SWE track on a MOOC platform. I do know they are not perfect, but I do practice a lot, and can work on personal projects. Hopefully, they will be useful :)
Cheers,
| Field | Value |
|---|---|
| text | I am a statistics & machine learning researcher. I have invented some new methods, built packages in C++, R, and Python. I am also a machine learning consultant (part-time), but I usually tell people what to do and give feedback rather than do things myself. I don't like this experience though. So you can see, I probably know lots about theory, methodology & practical applications. However, I always want to switch to a more "technical" position after getting a PhD, i.e. machine learning engine… |
| label | r/datascience |
| dataType | post |
| communityName | r/datascience |
| datetime | 2024-04-24 |
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Raw Record
{
"text": "I am a statistics & machine learning researcher. I have invented some new methods, built packages in C++, R, and Python. I am also a machine learning consultant (part-time), but I usually tell people what to do and give feedback rather than do things myself. I don't like this experience though. \n\nSo you can see, I probably know lots about theory, methodology & practical applications. However, I always want to switch to a more \"technical\" position after getting a PhD, i.e. machine learning engineer or SWE with focus on ML. I do feel like not having a formal training in SWE and CS would make me unemployable in the MLE field, so I always want to take some online SWE courses/programs to fill in the gap.\n\nMy goal is to know about the engineering process behind SWE and to take relevant technical SWE/CS courses that most SWE/CS students do. You know, I can code, but it doesn't mean I will be a good MLE 🤣\n\nDo you have any suggestions? Like a SWE track on a MOOC platform. I do know they are not perfect, but I do practice a lot, and can work on personal projects. Hopefully, they will be useful :)\n\nCheers,",
"label": "r/datascience",
"dataType": "post",
"communityName": "r/datascience",
"datetime": "2024-04-24",
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}
Entry Information
- Entry ID: 4975
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000