---
name: self-taught-ml-career-path
description: Discussion about self-taught machine learning career paths and success stories. Use when exploring alternative education paths, self-study strategies, or career development in ML without formal PhD training.
---

# AI 编码 Prompt Skill

## 描述
Most high profile work income across seems to be from people with PhDs, either in academia or indust...

## 类型
- 类型: AI 编码
- 评分: 60/100

## 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.
```

## 来源信息
- 来源: reddit
- 原始链接: https://www.reddit.com/r/MachineLearning/comments/1qp6s3c/d_examples_of_self_taught_people_who_made/
- 作者: datashri
- 互动: 0 赞

## 元数据
- 收集时间: 2026-01-30T20:48:50.623894
- Prompt 类型: AI 编码
- 质量分数: 60/100

---

*Skill generated by Clawdbot*