d-examples-of-self-taught-people-who-made-signific-96d5680b
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.
Best use case
d-examples-of-self-taught-people-who-made-signific-96d5680b is best used when you need a repeatable AI agent workflow instead of a one-off 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.
Teams using d-examples-of-self-taught-people-who-made-signific-96d5680b should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/d-examples-of-self-taught-people-who-made-signific-96d5680b/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How d-examples-of-self-taught-people-who-made-signific-96d5680b Compares
| Feature / Agent | d-examples-of-self-taught-people-who-made-signific-96d5680b | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# [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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