Re:Machine learning is still too hard for software engineers
by modernpink on Tuesday February 22, 2022 @05:41PM
(#30434899)
Most CS grads coming onto the engineer market now will have ML exposure through their chosen college courses. As this wave of knowledge makes its way through the industry, the value of ML specialist knowledge will decline, especially as off-the-shelf pre-trained models improve. Very few companies then will be able to justify the luxury of a dedicated in-house data science/ML engineering team. In other words, most software engineers will be ML engineers, in the same way most software engineers today are Docker/cloud proficient engineers.
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Re:Machine learning is still too hard for software engineers
by LAC-Tech on Tuesday February 22, 2022 @07:25PM
(#30435889)
> in the same way most software engineers today are Docker/cloud proficient engineers
oh shit, are we all supposed to be now?
Re:Machine learning is still too hard for software engineers
by exe163 on Wednesday February 23, 2022 @03:51AM
(#30439106)
Docker is a tool where one reads the documentation and be able to use it. ML, much like math, is a discipline. Sure you can read textbooks and the latest papers. But deep understanding and experience are what make it useful. Sadly these will take much longer.