Honestly it sounds like a needless and impractical gimmick.
562 karma · joined July 30, 2014
Honestly it sounds like a needless and impractical gimmick.
Burning plastic is clearly dirty, but with sufficient heat and airborne pollutant scrubbers I doubt it's any worse than coal.
There are certainly NGOs who will help you with this mission. Do some research and let us know.
This project looks to be on the way to another interesting contribution to OSS.
It's very jarring to find yourself on the receiving end of something that appears to be an unprovoked attack. And you might be totally justified in that belief. But it's worth considering for a moment if there might be some amount of truth in what they are saying. If you are living your whole life inside an exclusionary fortress of social power, you might be totally unaware of the battles happening outside the walls.
You need to build the stamina to keep it up. But assuming you can maintain a moderate to strenuous pace for 30 minutes you can burn off a small meal's worth of calories. An hour of moderate running can be around 600 calories for an adult male.
Animals will often misinterpret an attempt to pet with an attempt to grab. It helps a lot to attempt to pet with the back of your hand rather than your palm and fingers.
There are two other good features of a PAC analysis of a problem that often get overlooked:
* you need to precisely define a model for how your data is being generated. This helps you reason about the data source a little better and to quantify your expectations of what you are expecting to see. You can turn this into anomaly detection by identifying highly improbably input data to your model.
* doing a PAC analysis will give you a principled method of ranking different methods for modeling the same data. Without anything else to go on, a ML algorithm with a better PAC bound is probably a better first choice than an algorithm with a weaker or no PAC bound.
All of this provides a better methodology to approaching a new model than the typical one of building random deep learning architectures and then pulling the slot machine arm to see if you hit a jackpot.
That little phrase is doing a lot of work in your theorem :)
Yeah, this is common and often explains why ML projects fail. ML won't magically understand data for you. And if you don't understand the data you are feeding into your ML pipeline, you will almost certainly have a garbage-in-garbage-out situation on your hands.
One interesting fact about Burroughs is that he was a chronic drug abuser and managed to shoot his wife during some sort of drug fueled accident. The message in this little piece can be easily interpreted as Burroughs trying to analyzing his own mistakes that lead to her death.
This is really just scratching the surface of how odd and complex Burroughs' life and psyche are. If you are a fan of surrealism, the beatnik movement or other larger than life writers like Hunter S Thomson, it's worth giving his work a chance.
In aviation and space, there are serious issues in keeping biological organisms alive due to oxygen levels, pressure changes, and G forces. A purely autonomous system would be able to be more maneuverable in more environments than any system that also needs to keep a meat bag alive.
The other thing machines are great at is patience. Land mines can remain operational for decades, just waiting for their opportunity to detonate. Biological organisms have much higher passive maintenance costs.
Here's an excerpt from the wikipedia page ( https://en.wikipedia.org/wiki/Terraforming_of_Venus )
Difficulties include the fact that the production of organic molecules from carbon dioxide requires hydrogen, which is very rare on Venus. Because Venus lacks a protective magnetosphere, the upper atmosphere is exposed to direct erosion by the solar wind and has lost most of its original hydrogen to space.
All that is required is to know there is a problem and to judge who is likely to have a workable solution if you seek them out.
Politicians don't know anything about technical issues. A good politician's strength is in knowing when to defer to experts and to judge who is a good expert.
When you plant a new forest today, do you try to preserve the native species or do you anticipate what species will thrive in the area 20-50 years from now?