Row 66566
Content Data
This page contains data entry 66566 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
I have recently taken up a course online on Linear Algebra. The course starts with a few basic introductions to matrices and the operations that can possibly be applied to them. I came across a few topics which i would like to know if they're that important and if they're used in AI? The topics are: Pivot Entries and row echelon form including reduced row echelon form and Gauss Jordan Elimination. All responses are greatly appreciated. If there are any Scientists/ Researchers within this sub, i would love to hear your take on this question.
**TLDR: ARE Pivot Entries, row echelon form including reduced row echelon form and Gauss Jordan Elimination widely used in AI and is it advisable i know these concepts for a career in AI?**
| Field | Value |
|---|---|
| text | I have recently taken up a course online on Linear Algebra. The course starts with a few basic introductions to matrices and the operations that can possibly be applied to them. I came across a few topics which i would like to know if they're that important and if they're used in AI? The topics are: Pivot Entries and row echelon form including reduced row echelon form and Gauss Jordan Elimination. All responses are greatly appreciated. If there are any Scientists/ Researchers within this sub, i … |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-23 |
| username_encoded | Z0FBQUFBQm5Lak1jMnR2WHotclpwSHlZTEdNb0NLbVFHaTg0WDJfU01qUEFkblR6ZldsTDU5WWRzSXF4bmNRTHdwazRsanY0ZEJNR2ZCdDgxdGRJZUZvUFc5UUtsQ3BHWjRJUDVFTmRzT0pyRHJBakxKZ09UaGM9 |
| url_encoded | Z0FBQUFBQm5Lak90ZkpNZ0ZhNlRiOGRaNGFRWEVhWnRSRXNXQWVjWGYtZlNqeS0zT0JnbWxMMmxIV196YUJWOVhkbkFJbi1NM2VxbFd4YVZSeTJ5TFlScjlKUVdIZWpNdXVfYlJEQnJKSnFkdjluNXl2S2N6QnppS3hSbFFXNUJST3VkdXRSako5d3dJdUczLW9ENnl0MnRSNGNJQ0VNU2tnaFQ1YmxtalhnYTVBZHA1aHc0RjFGOTF6NXRQeW1LdjVJWU14ZlFWXzBN |
Raw Record
{
"text": "I have recently taken up a course online on Linear Algebra. The course starts with a few basic introductions to matrices and the operations that can possibly be applied to them. I came across a few topics which i would like to know if they're that important and if they're used in AI? The topics are: Pivot Entries and row echelon form including reduced row echelon form and Gauss Jordan Elimination. All responses are greatly appreciated. If there are any Scientists/ Researchers within this sub, i would love to hear your take on this question.\n\n**TLDR: ARE Pivot Entries, row echelon form including reduced row echelon form and Gauss Jordan Elimination widely used in AI and is it advisable i know these concepts for a career in AI?**",
"label": "r/machinelearning",
"dataType": "comment",
"communityName": "r/MachineLearning",
"datetime": "2024-05-23",
"username_encoded": "Z0FBQUFBQm5Lak1jMnR2WHotclpwSHlZTEdNb0NLbVFHaTg0WDJfU01qUEFkblR6ZldsTDU5WWRzSXF4bmNRTHdwazRsanY0ZEJNR2ZCdDgxdGRJZUZvUFc5UUtsQ3BHWjRJUDVFTmRzT0pyRHJBakxKZ09UaGM9",
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}
Entry Information
- Entry ID: 66566
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000