You just get started. Its part of the reason I've always preferred either forums or fark/ digg/ reddit/ lemmy style conversations.
Also, writing is a skill. You get better at it with time. Its like how a TV show host can just 'riff' on a topic. I think responding to comments has definitely improved my ability to write in particular style (engaging/ proactive/ enthusiastic, whatever.).
It also helps to be familiar with markdown, as good formatting makes the writing more satisfying.
Good suggestion. Will try. Any idea how to profile which plug-in?
tits out for harambe
it's like failing a catchpa.
They determine you are no longer you and you have to just start a new identity from scratch.
"It's crucial..."
Normal departed permanently after we a stolen election in the year 2000.
I've done several AI/ ML projects at nation/ state/ landscape scale. I work mostly on issues that can be solved or at least, goals that can be worked towards using computer vision questions, but I also do all kinds of other ml stuff.
So one example is a project I did for this group: https://www.swfwmd.state.fl.us/resources/data-maps
Southwest Florida water management district (aka "Swiftmud"). They had been doing manual updates to a land-cover/ land use map, and wanted something more consistent, automated, and faster. Several thousands of square miles under their management, and they needed annual updates regarding how land was being used/ what cover type or condition it was in. I developed a hybrid approach using random forest, super-pixels, and UNET's to look for regions of likely change, and then to try and identify the "to" and "from" classes of change. I'm pretty sure my data products and methods are still in use largely as I developed them. I built those out right on the back of UNET's becoming the backbone of modern image analysis (think early 2016), which is why we still had some RF in there (dating myself).
Another project I did was for State of California. I developed both the computer vision and statistical approaches for estimating outdoor water use for almost all residential properties in the state. These numbers I think are still in-use today (in-fact I know they are), and haven't been updated since I developed them. That project was at a 1sq foot pixel resolution and was just about wall-to-wall mapping for the entire state, effectively putting down an estimate for every single scrap of turf grass in the state, and if California was going to allocate water budget for you or not. So if you got a nasty-gram from the water company about irrigation, my bad.
These days I work on a small team focused on identifying features relevant for wildfire risk. I'm trying to see if I can put together a short video of what I'm working on right now as i post this.
Example, fresh of the presses for some random house in California:
Imagine buying ~~a policitian's cryptocurrency~~
Click on all busses:
There is a short story in here about someone who can't pass a captcha, loses their identity, and has to move on to becoming a fisherman in Norway.
Dude I can't even pass a catchpa these day. I still don't know if a e-bike is a scooter, a bike, or a moped.
Turns out land is still cheap and sunlight still generally free.