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mailshanx
searching PlanetScale…
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mailshanx
11y ago
>> He'll happily throw in your zip code and credit card number into the mix, not realizing that those two features have super high entropy You will be surprised: you can make significant gains by including the zip code - i'v
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mailshanx
11y ago
I think the fundamental differentiator might be how "production ready" TensorFlow is - the promise of simply declaring an ML pipeline and have that run in very heterogeneous compute environments from mobile phones to GPU blades to
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mailshanx
11y ago
TensorFlow seems to emphasise the distributed computing aspects a lot more compared to Torch7. Also, TensorFlow is made for deploying machine learning pipelines in general, whereas Torch7 focuses on deep neural networks specifically.
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mailshanx
11y ago
>> I mean there is a reason why the phrase "statistically significant" is often used. Not sure if this is meant to be satire / sarcasm? By "classically" trained statistician, i meant someone who has taken a bu
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mailshanx
11y ago
>> small sample size Here is where a classically trained statistician can really shine. Classical statistics is really all about extracting insight from data when it is hard to come by...
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mailshanx
11y ago
Here is a well deserved plug for Cam Davidson Pilon's excellent book called Bayesian Methods for Hackers: https://github.com/CamDavidsonPilon/Probabilistic-Programmin...
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mailshanx
11y ago
Expertise in all areas of data science: machine learning, optimization, statistics, big data architecture. If your company generates large amounts of data, i can help you exploit it and build production machine learning systems and / o
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mailshanx
11y ago
1M for a year's worth of work? Even if you actually succeed with the startup, it is highly unlikely that you earn 1M per year in payouts. Also think of your financial goals - 1M brings you pretty close to FU money.
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mailshanx
12y ago
Went on a long job hunt, resulting in 6 offers, with the best one paying more than 5x my current current salary. Got a much better understanding of the professional landscape and the opportunities out there.
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mailshanx
12y ago
What is program is that?
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mailshanx
12y ago
How do i get in touch with you? I have honed my math / ML skills over many years in academic research - we should definitely talk!
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mailshanx
12y ago
Do you sponsor H1B?
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mailshanx
12y ago
How fucked up is that? I teared a little as i read your story. I can't imagine a mother not getting help for the sake of a measly 5000$. What kind of a society is the US if it lets its people die because they can't cough up a $ 5k
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mailshanx
12y ago
Expertise in all areas of data science: machine learning, optimization, statistics. If your company generates large amounts of data, i can help you exploit it and build production machine learning systems. Top 2% rank on Kaggle.com. Built t
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mailshanx
12y ago
Very sad to hear that. Really hoping for the best possible outcomes.
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mailshanx
12y ago
Ohhh, hey Patrick, congratulations on a new addition to your family! :) I've been following your writing for quite a while now, and i love it :) Heartiest congratulations again :D
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mailshanx
12y ago
Hey Patrick, could you talk more about the options available to you if you are good enough to get into AmaGooBookSoft, as well as ready to take on plenty of risk?
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mailshanx
12y ago
I'm not much of a salesman, but i strongly recommend Robert Cialdini's Influence. The author created the scientific field that studies how to influence human behavior - he is a sociologist and embedded himself within multiple sale
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mailshanx
12y ago
You might find my comment on a related thread useful: https://news.ycombinator.com/item?id=8444705
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mailshanx
12y ago
Expanding on my previous comment ( https://news.ycombinator.com/item?id=8444705 ), here are some excellent, tried-and-tested resources to help you learn the fundamentals. 1. Probability and stats: For probability, work throug
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mailshanx
12y ago
Like many people here have mentioned, mastering everything can take far too long, and is completely unnecessary in practice. It is much, much more important to master the foundations, which consist of: 1) Probability and statistics 2) Line
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mailshanx
12y ago
On a slightly tangential note: i too recently interviewed for data scientist positions, and ended up with multiple offers. If you need advise for preparing for data science interviews / need help understanding concepts in machine lear
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Google execs have ideas on how to run your business
(technologyreview.com)
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mailshanx
12y ago
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1 comments
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mailshanx
12y ago
This is what happened: Me: "That will depend on the other things in the compensation package, such as the paid time off." HR: "Everyone gets 20 days. We have gym, swimming pool, and medical insurance. We don't offer stoc
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mailshanx
12y ago
The HR lady asked me what is my minimum salary threshold, below which i wouldn't be willing to go. How does one respond to that? Note that the HR interview was my first contact with the company: the tech interviews had not even begun y
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mailshanx
12y ago
Do you know where your can get on a trip for 5K? Last i checked, those trips would cost around 2x that amount: i would be absolutely delighted if i can find one for 5K!!!
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mailshanx
12y ago
"Be constantly vigilant of potential opportunities and to strike as soon as possible." I'd venture to suggest that most people know this, but lack the confidence / daring to do so...
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mailshanx
12y ago
Expertise in all areas of data science: machine learning, optimization, statistics. If your company generates large amounts of data, i can help you exploit it and build production machine learning systems. Top 2% rank on Kaggle.com. Built t
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mailshanx
12y ago
Between the rapes, dowries, sexual harassment, and a general sense of misogyny: it must be really unfortunate to be born a female in India. I wonder how much of the blame rests on the deep-rooted cultural practices in the region vs the econ
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mailshanx
12y ago
Hey, here is wishing you all the very best in your treatment. I really hope you will come out stronger!
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