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ccmonnett

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ccmonnett
·3 anni fa·discuss
I would not let the author's tongue-in-cheek title discourage you from reading what is a very widely respected, well-received book :). Unless the rest of the books on your list are exclusively about motorcycle repair, in which case... still consider giving it a read.
ccmonnett
·4 anni fa·discuss
Especially if you have Python experience, then yes the opportunity definitely exists.

For example when I hire MLEs (which I am doing now if anyone wants to apply - supportlogic.io) I am willing to look at people who are solid Python/backend engineers and who have been "ML adjacent" or who we believe could learn the ropes of ML enough to contribute. The stronger an engineer, the more flexibility we have in ML knowledge. Some ML engineering is task-specific but a lot of it is automation, data engineering, and improving data scientist code (for which you do need ML experience

I've found it's a lot easier to teach an engineer enough DS/ML fundamentals to do ML Engineering than it is to teach a data scientist engineering skills. A lot easier...
ccmonnett
·5 anni fa·discuss
Assuming you looked at or seriously considered the i3 - in what way(s) was it 'not good enough' for you to stick to your favorite brand?

I'm not a big BMW person but I always liked the i3. I never got that close to buying one so I'm open to the idea there's some big catch or drawback I just didn't look closely enough to see.
ccmonnett
·5 anni fa·discuss
> My argument was based on the premise that votes from power users are more valuable as they better at judging the quality of the content.

As someone responsible for designing and incorporating end-user activity/feedback into ML, I have to tell you this is exceedingly unlikely.

The number of power users, especially on a large consumer app like Spotify, is dwarfed by the broad userbase (I estimate ~1% of Spotify users at most qualify as "power users").

Would I rather have power user-only feedback, or 100x the feedback? Definitely definitely 100x the feedback from all users.
ccmonnett
·5 anni fa·discuss
Really enjoyed this post and explanation, thank you! I work in ML and used to live on Alma St in Palo Alto so it really hit home for me :).

I also acutely enjoy the notion that a pithy critique of people who refused to simplify the problem they were solving is in itself grossly oversimplified!
ccmonnett
·5 anni fa·discuss
You can hire developers/engineers anywhere but it's hard(er) to find leadership and/or VC connections elsewhere.

I moved from the Bay to Raleigh, NC. If I wanted to start a B2B AI SaaS company here, I could (probably) find dozens of good engineers locally to help me do that. If I want to hire a VPE who's "been there done that" and scaled a B2B SaaS engineering org to 200+ engineers, or 1,000+ customers, or $30M+ revenue... my options are going to be significantly more limited here than SF/SV.