rfeather
|
7 years ago
|
on: Oil Demand for Cars Is Already Falling
The article doesn't talk about greenhouse gas emissions, so the power grid and fuel source isn't really relevant to the point, especially since oil is an extremely small part of the energy mixture in most places.[1]
If they were talking about greenhouse gases, then the answer seems to be that it depends on where you live and how/what you drive, but an electric vehicle almost always produces less emissions than an equivalent gas powered one. [2] does a decent job explaining though I feel he leaves a few parts out for the sake of clarity. For example, driving a P100D isn't the equivalent of driving the average car. It's more like driving a sports sedan (like a BMW M5), so those sorts of vehicles would probably be a more fair comparison. In the same vane, the whole US car fleet includes lots of SUVs and other trucks, which if there were equivalent electric models, would obviously not go as far as a Leaf. It would be great if there was a US calculator that worked like [3] does for the UK so that we could do the same sort of comparison based on the mix where we live.
[1] https://en.wikipedia.org/wiki/Electricity_generation#Product...
[2] https://www.youtube.com/watch?v=6RhtiPefVzM
[3]https://www.nextgreencar.com/tools/emissions-calculator/
rfeather
|
7 years ago
|
on: Facebook Is Full of Emotional-Support Groups
Not the poster's job. Facebook is a business. If they want a solution from the poster, pay for it.
rfeather
|
7 years ago
|
on: Things an architect should know
Are you aware of one for the kind of "Architect" you are? I'd definitely like to read that.
rfeather
|
7 years ago
|
on: Amazon scraps secret AI recruiting tool that showed bias against women
Off topic, but I'm looking at similar data. Are you talking about a public source (eg NHANES) or something else?
rfeather
|
7 years ago
|
on: How to deliver on Machine Learning projects
The point about hacking away at the code needs to be couched heavily. It's too easy to conclude you've got negative or positive results when what you really have is a silly little bug. The lack of focus on implementation skills in data (or even "real" science) is frightful. The one take away anyone trained in software engineering could share is that if you aren't very sure if it is working as intended, it's very likely not. Code review is very applicable here when making major pivots, even if unit or other testing is decidedly too time consuming for the train test improve loop.
Edit: typo "of" to "if". Somewhat serendipitous if you think about it.
rfeather
|
7 years ago
|
on: The annoying habits of highly effective people
The boss could very easily at least make it known which engineer did the good work to fix it. If that isn't standard practice, something is seriously wrong. I make it a goal to be clear about who did the work when talking about something my team accomplished, even if I had the idea.
rfeather
|
7 years ago
|
on: DuckDuckGo Traffic
All of the bang commands are probably a great way for them to get feedback on what they're not giving good results from. Very targeted training data.
rfeather
|
7 years ago
|
on: Twitter’s deletion of its FB app caused old cross-posts to temporarily disappear
Given that this consequence seems to be unintended, it seems surprising that two companies this large couldn't/didn't find a way to test the effect ahead of time.
rfeather
|
7 years ago
|
on: Seaweed in Cow Feed Reduces Methane Emissions Almost Entirely
The unfortunate thing is that no matter whether something is illegal or not, it can still be a victim of bycatch when fishing for legal species, and bycatch mortality is quite high. Bycatch is actually higher than actual catch by weight for some fisheries+methods.[1] It's not just what you eat, but where it came from.
[1] http://www.fao.org/docrep/003/t4890e/t4890e03.htm
Edit: A couple of extra spaces removed
rfeather
|
8 years ago
|
on: Pythran: Crossing the Python Frontier [pdf]
Could you elaborate more on the advantages of a functional language?
rfeather
|
8 years ago
|
on: How and Why Athletes Go Broke (2009)
Ditto.
rfeather
|
8 years ago
|
on: The LION Way: Machine Learning and Intelligent Optimization [pdf]
Always glad for a new exposure to the subject. Many thanks to your professor!
rfeather
|
8 years ago
|
on: Lyft's first expansion outside the USA in Toronto next month
I'm so glad to hear I'm not alone in avoiding Uber for being unethical. I hope this is more widespread than just the HN crowd, but generally I get the impression that most folks just aren't aware/don't care about corporate behavior.
rfeather
|
8 years ago
|
on: What happened when I opened a restaurant in Portland
Do you have a source on the audit thing? I'm genuinely curious about energy use attitudes in small businesses.
rfeather
|
8 years ago
|
on: The real prerequisite for machine learning isn’t math, it’s data analysis (2016)
In an academic/learning environment I agree. But, for professional purposes I wouldn't hire even an entry level person who didn't have at least enough of a basis to know when those concepts apply. I also wouldn't hire a data scientist who can't at least tell me the high level workings of an algorithm they might choose. I interview for both types of positions and know what it's like to have to compensate for an amateur.
rfeather
|
8 years ago
|
on: The real prerequisite for machine learning isn’t math, it’s data analysis (2016)
Doing machine learning without math is like programming without knowing about unit testing or data structures. Sure, you can get by. Good luck to anyone who has to live with what you've made.
rfeather
|
8 years ago
|
on: Dangers of Sitting
I've found 1-2 walks around the parking lot per day to be a great boost to my well-being. I usually do it solo (escape from open office overload), though at my last job one of the more senior people would usually round up a core group for a good half hour walk.
If anything, taking active breaks has been good for my career. Often I go when I finish a task/segment and the quiet, outdoor time give my mind a chance to wander and put things in context so that I can choose my next tasks effectively.
It's anecdotal, but I suspect that the people who eat lunch at their desk and don't get up all day aren't actually creating more value than those who take some time. A quick search indicates there are at least some studies backing this up [1]. I'd be curious if there is evidence that points the other way though.
[1]http://m.huffpost.com/us/entry/8548292
rfeather
|
8 years ago
|
on: The Argument Against Terraforming Mars (2016)
I'd highly recommend reading the referenced Mars Trilogy. The debate has some more detail in the words of the characters (though the summary here gets the major points of the "Reds").
What's missing here but present in the series is the counterpoint. For purposes of profit and self preservation, terraforming is all but inevitable. A more useful debate is about how it should happen if you want to preserve some of the Martian natural beauty.
rfeather
|
9 years ago
|
on: Introducing Keras 2
I wonder why they decided to get rid of MaxoutDense. Is there something better or is it so trivial to implement they decided to drop it?
rfeather
|
9 years ago
|
on: Database of Brutalist buildings
Thanks! When I see brutalism it conveys a sense of purpose and always looks futuristic. I guess I understand why people don't like it, but in my opinion, many of the buildings are much more interesting than seemingly cookie cutter modern glass towers.
Edit: wording
If they were talking about greenhouse gases, then the answer seems to be that it depends on where you live and how/what you drive, but an electric vehicle almost always produces less emissions than an equivalent gas powered one. [2] does a decent job explaining though I feel he leaves a few parts out for the sake of clarity. For example, driving a P100D isn't the equivalent of driving the average car. It's more like driving a sports sedan (like a BMW M5), so those sorts of vehicles would probably be a more fair comparison. In the same vane, the whole US car fleet includes lots of SUVs and other trucks, which if there were equivalent electric models, would obviously not go as far as a Leaf. It would be great if there was a US calculator that worked like [3] does for the UK so that we could do the same sort of comparison based on the mix where we live.
[1] https://en.wikipedia.org/wiki/Electricity_generation#Product... [2] https://www.youtube.com/watch?v=6RhtiPefVzM [3]https://www.nextgreencar.com/tools/emissions-calculator/