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physcab
searching PlanetScale…
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80 ms
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691.
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by
physcab
17y ago
Two other pieces of advice: 1) For the love of God, introductions are not about you--its about them . You'll get your chance to tell your story if you first make their needs a priority. 2) Always introduce yourself to the person sitting
692.
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by
physcab
17y ago
I don't feel like money is the issue though. When you're working for a company your job is to produce something for them--something that moves the company forward. In grad school, your work is much more selfish. You have ample time to th
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physcab
17y ago
I think you're leaving out a very important aspect of graduate school, which is simply the ability to experiment and find out what you truly love to do. You can be pigeonholed into a business you don't particularly like, just like you can
694.
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by
physcab
17y ago
Yeah this is something I do frequently. I discovered it while studying for my qualifying exam. When I first took the exam, I failed using the same study methods I used in undergrad. I realized the scope of information I had to know was mu
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Ask YC: What happened to WattVision (YC S08)?
25 points
by
physcab
17y ago
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6 comments
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physcab
17y ago
The problem that I have with this site is that it places emphasis on the numbers. My GPA, SAT, and GRE were all crap compared to my peers. But my college experience wasn't dependent on my numbers. I even wonder how indicative these score
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Deep Green and Augmented Reality Pool
(techblips.dailyradar.com)
1 points
by
physcab
17y ago
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0 comments
698.
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by
physcab
17y ago
It looks like a street in LA.
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physcab
17y ago
I thought CitySourced and LocalBacon were pretty cool. They solved real problems and actually listened to their customers' pain points.
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CitySourced Lets You Report Pot Holes And Graffiti On The Go
(techcrunch.com)
1 points
by
physcab
17y ago
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0 comments
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physcab
17y ago
I don't mean to suggest that users don't. I'm just saying its a bit unnerving. As a data scientist, one needs to constantly ask themselves ethical questions concerning that data they are working on. Just because it exists, doesn't mean yo
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Udorse Leverages Facebook Photos For Social Product Endorsements
(techcrunch.com)
3 points
by
physcab
17y ago
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1 comments
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by
physcab
17y ago
I know they took precautions on protecting user privacy, but there is something a little bit unnerving about analyzing personal messages without written consent.
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physcab
17y ago
Yeah I got the same weird feeling when I read that headline, but honestly, getting that type of coverage probably helped them considerably. It seems like most successful companies have the right proportion of hard work and luck.
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Where Google Is Really Big: India and China
(bits.blogs.nytimes.com)
2 points
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physcab
17y ago
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0 comments
706.
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physcab
17y ago
Cool. Thanks for sharing that information. I love Hacker News.
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physcab
17y ago
Really cool blog. I'll add it to the other good ones I typically read: flowingdata.com and datawrangling.com. I wonder why he chose to use PMF. There are seemingly less complicated algorithms (PCA/SVD/LSA) that appear to do the same type o
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physcab
17y ago
Every material has optical and electrical properties. Light is always interacting with materials. The difference is that you're not applying a load. Or maybe you are and its just small...I'm not too familiar with biological materials. E
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physcab
17y ago
It's similar phenomena. When light impinges on a material it is absorbed. Electrons in the ground state are lifted into a higher state, and after a very short time (nanoseconds) they relax, re-emitting that light. That light goes in ever
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physcab
17y ago
Sure. I was thinking more from the material perspective, but yes there are other phenomena to consider.
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physcab
17y ago
"It generally takes much less water to deflect visible light and reduce the efficiency of a silicon solar panel than it takes to absorb the UV that is producing power through the melanin." I'm confused by this statement. I'll try to clarif
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Colleges Are Failing In Graduation Rates
(nytimes.com)
3 points
by
physcab
17y ago
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1 comments
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physcab
17y ago
After looking at a number of these algorithms, it seems like you really need to take each situation into consideration. I like that Google example as it is easy and scalable as you said. But for more complicated situations, you can do bat
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physcab
17y ago
“These machines are to the video industry what the Internet was to the music business — disaster” Hate to break it to you bud, but the Internet is not choosy about media types. I promise you that when movie streaming becomes more practical
715.
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physcab
17y ago
This site is amazing. What a great find! I've been doing research in the machine learning field using Bishop's PRML book. As good as that book is, I feel there is a lack of good tutorials to explain important concepts. The few tutorials I
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by
physcab
17y ago
Boo hoo. AT&T is offering a product just like any other business. They don't get special sympathy just because they have millions of customers. When I pay my ghastly $100/month bill I expect to get the service I paid for (access to i
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Thread.com Raises $1.2 Million For Facebook-Powered Matchmaking Service
(techcrunch.com)
4 points
by
physcab
17y ago
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0 comments
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by
physcab
17y ago
Interesting, but not too surprising. How is this going to help you in the recommendations business?
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physcab
17y ago
I think you're right that the post is slightly contradictory, but his premise I believe is correct. In all that I have studied on machine learning in both academia and start-up land, I have observed that you consistently pick algorithms to
720.
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by
physcab
17y ago
I travel quite a bit as well. I've gotten pretty savvy at avoiding airports that are busy. I can see the real value for this application to business users, however like you, I'm not convinced this will be a huge market. But that's maybe
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