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D Examples Of Self Taught People Who Made Signific 96D5680B

D Examples of self taught people who made significant contributions in ML/AI

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[D] Examples of self taught people who made significant contributions in ML/AI

描述

Most high profile work income across seems to be from people with PhDs, either in academia or industry. There's also a hiring bias towards formal degrees.

There has been a surplus of good quality online learning material and guides about choosing the right books, etc, that a committed and disciplined person can self learn a significant amount.

It sounds good in principle, but has it happened in practice? Are there people with basically a BS/MS in CS or engineering who self taught themselves ...

来源

Prompt

Most high profile work income across seems to be from people with PhDs, either in academia or industry. There's also a hiring bias towards formal degrees. 

There has been a surplus of good quality online learning material and guides about choosing the right books, etc, that a committed and disciplined person can self learn a significant amount. 

It sounds good in principle, but has it happened in practice? Are there people with basically a BS/MS in CS or engineering who self taught themselves all the math and ML theory, and went on to build fundamentally new things or made significant contributions to this field? 

More personally, I fall in this bucket, and while I'm making good progress with the math, I'd like to know, based on examples of others, how far I can actually go. If self teaching and laboring through a lot of material will be worth it.

标签

  • AI
  • Text Prompt
  • prompt
  • 生成
  • clawdbot

Skill generated by Clawdbot

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/hhhh124hhhh/d-examples-of-self-taught-people-who-made-signific-96d5680b
Version
—
Commit
60311481551857fdde91911dd9dda0aae4f8c5b0
Source de classification
rules
Statut
active
Visibilité
public

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Contenu extrait

SKILL.md
# [D] Examples of self taught people who made significant contributions in ML/AI

## 描述
Most high profile work income across seems to be from people with PhDs, either in academia or industry. There's also a hiring bias towards formal degrees. 

There has been a surplus of good quality online learning material and guides about choosing the right books, etc, that a committed and disciplined person can self learn a significant amount. 

It sounds good in principle, but has it happened in practice? Are there people with basically a BS/MS in CS or engineering who self taught themselves ...

## 来源
- 平台: reddit
- 原始链接: https://www.reddit.com/r/MachineLearning/comments/1qp6s3c/d_examples_of_self_taught_people_who_made/
- 类型: Text Prompt
- 质量分数: 72.7208671582886

## Prompt
```
Most high profile work income across seems to be from people with PhDs, either in academia or industry. There's also a hiring bias towards formal degrees. 

There has been a surplus of good quality online learning material and guides about choosing the right books, etc, that a committed and disciplined person can self learn a significant amount. 

It sounds good in principle, but has it happened in practice? Are there people with basically a BS/MS in CS or engineering who self taught themselves all the math and ML theory, and went on to build fundamentally new things or made significant contributions to this field? 

More personally, I fall in this bucket, and while I'm making good progress with the math, I'd like to know, based on examples of others, how far I can actually go. If self teaching and laboring through a lot of material will be worth it.
```

---

## 标签
- AI
- Text Prompt
- prompt
- 生成
- clawdbot

---

*Skill generated by Clawdbot*

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