bluehat
Joined 16 years ago
Joined 16 years ago
What I was advocating for here is that people who are not directly wronged step up and help out. If a man behaves inappropriately towards me and I say something, it is (quite reasonably) often mistaken as a threat. I've never been a man so I don't know for sure, but I suspect that if a male colleague stepped up, took the person aside and said something privately, that this might go a lot better.
I want to shift the focus away from the person who did something wrong and towards minimizing and fixing harm. Too often we focus on the person who did a bad thing. Unless there is reason to believe that the person hurting people is dangerous or unable to stop hurting people, I'd much rather focus on "what are we going to do to fix this situation" than "what do we do with the person who caused this?"
Campaigns aren't wrong to be concerned about who has their data. There is good historical reason for them to be skeptical that security on your system will be strong enough to prevent customers from accessing other customer's data. https://time.com/4155185/bernie-sanders-hillary-clinton-data...
Now imagine getting buy-in for using customer data to improve your models.
I can't blame campaigns for being paranoid about vendors potentially going across the aisle. NationBuilder is one of the only big names I know that does it. They are in a unique and unenviable position given the death grip NGP VAN has, and they pay a big price for it on nearly every front.
If you want the quickest path to a SV job, you learn the most modern frameworks and drill them until you scrawl the boiler plate in your sleep. Project-based learning is extremely appropriate for this. You absolutely don't need four years of education to crank out a comfortable 6 figure salary off this knowledge. (In fact, it might be a liability if your pet framework ages out). You only have to be able to fill a need (even one will do) which a lot of companies have.
If you're looking for anything else, a diet of only back-to-back projects might not be the best way. If you're jumping head first from javascript into kernel modules you might consider a book. If you're looking to automate some bio or physics lab equipment, you can't expect getting good at a few popular frameworks to carry you. If you're learning math there are advantages to having people grade your work and offer office hours.
And if we're being really honest, this non-project-based stuff is pretty useful as SV job prep too. Not knowing things like linear algebra, statistics, and discrete math can be career limiting. I mean, how many of us are really ready to jump the gap to doing serious ML work?