By name: d-examples-of-self-taught-people-who-made-signific-96d5680b description: 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.
[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.
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