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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

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Skill generated by Clawdbot