Row 8630

Row ID: 8630 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 8630 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I would improve my python general efficiency (basic projects, solving problems) and gain a solid mathematical foundation in ML first. You can also do some basic ML projects from Kaggle as well (if you dont know basic stuff like pandas, numpy, sklearn etc). After your maths is good enough and your coding proficiency goes up, you can read different research papers and try to implement their ideas or combine with your own ideas. Personally don't recommend someone directly dive into doing ML projects. Without mathematical foundation all you learn is importing libraries and knowing basic data preprocessing. Especially in deep learning, having decent python and math skills is so essential. You can literally build almost any kind of model you want in Pytorch once you have a solid grasp of maths and coding.

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text I would improve my python general efficiency (basic projects, solving problems) and gain a solid mathematical foundation in ML first. You can also do some basic ML projects from Kaggle as well (if you dont know basic stuff like pandas, numpy, sklearn etc). After your maths is good enough and your coding proficiency goes up, you can read different research papers and try to implement their ideas or combine with your own ideas. Personally don't recommend someone directly dive into doing ML projec…
label r/deeplearning
dataType comment
communityName r/deeplearning
datetime 2024-05-19
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Raw Record

{
  "text": "I would improve my python general efficiency (basic projects, solving problems) and gain a solid mathematical foundation in ML first. You can also do some basic ML projects from Kaggle as well (if you dont know basic stuff like pandas, numpy, sklearn etc). After your maths is good enough and your coding proficiency goes up, you can read different research papers and try to implement their ideas or combine with your own ideas.  Personally don't recommend someone directly dive into doing ML projects. Without mathematical foundation all you learn is importing libraries and knowing basic data preprocessing. Especially in deep learning, having decent python and math skills is so essential. You can literally build almost any kind of model you want in Pytorch once you have a solid grasp of maths and coding.",
  "label": "r/deeplearning",
  "dataType": "comment",
  "communityName": "r/deeplearning",
  "datetime": "2024-05-19",
  "username_encoded": "Z0FBQUFBQm5Lakw0RV9CUE9ZdHVWOWVLTWVpY3V4YmNpRUdmUTY4aFBhNjN5djJGWnRnQ0pmaXpWOERvNlJmcmFjOHpiQmVUeXZvOTlNcjdWQWxsMGpidGpPYTk0WGFXOWc9PQ==",
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}
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