Have you considered strategic/management consulting in the medical field. I know the big 4 will have specialists focusing on this - possibly related to the healthcare setup in your country - along with niche boutiques. I can't vouch for how much this would just involve powerpoint and Excel modelling bullshit in suits versus R analysis but I imagine data science skills would be extremely valuable. Also health policy if you are interested in the political side of things.
Readit Newsthrowaway_374 commented on Ask HN: Studying medicine, would like to move out of the field · Posted by u/snikis
Tangential but it does irk me when these online streaming summary statistics algorithms come up in interviews. Most recently I had Welford's for online estimation of variance/std optimised for numerical stability. Great, fascinating stuff, there's FP representation issues but really is this necessary to quiz... mostly just the interviewer trying to show off how clever they are.https://www.johndcook.com/blog/standard_deviation/
So... in English... for us mere mortals with limited Linux kernel exposure... does this accelerate (or decelerates) the system clock or is it a mock patching for system time function calls?
throwaway_374 commented on Ending the cult of the CEO managementtoday.co.uk/its... · Posted by u/ekpyrotic
You don't know what you're talking about. CEOs have mortgages, healthcare, and families to worry about. They also have a handful of very demanding, very intimidating investors to please, to each of whom they owe millions, they have employees that are constantly getting poached, they have users that are shitting on their product online.
At large, people are terrible. CEOs are working with these terrible, dumb, rude, and sometimes harmful people to get them to invest, to work, to be productive, to just help get a product out the door. And if they don't get products out the door - If companies do not succeed - You can say goodbye to your nation. We are built on the fruits of technology-selling companies through and through; our wealthy nations do not come from nowhere, someone has to do the work, and CEOs are all doing the work in addition to family, healthcare, and mortgage woes.
I was about to fly off the handle until I realised your sarcasm.
TLDR: took out a loan to amass a large put position then tried to plummet the underlying stock price which gives him the right to sell once it's below the strike.
http://www.telegraph.co.uk/business/2017/04/21/alleged-borus...
throwaway_374 commented on Bonobo – A data processing toolkit for Python 3.5+ bonobo-project.org/... · Posted by u/rdorgueil
So how is this different from Airflow, other than Windows compatibility and a lack of dashboard?
throwaway_374 commented on New IPython release drops Python 2.7 support ipython.readthedocs.io/en... · Posted by u/peterdemin
I started out learning programming using Python and gradually came to prefer strongly typed languages. I'm aware of 1 1/2 options for doing this kind of work in a strongly typed language that isn't C++:
Option 1: F# or C# with the Deedle[1] library. Deedle provides series and dataframe classes, along with various stats functions. I believe that there are also some vis tools. Type providers in F# allow you to specify a data source, such as a CSV or database, and then not only infer the types but also give you intellisense autocompletion. See the F# guide for data science[2] for more info.
Option 1.5: I hesitate to recommend the following, because there's simply not much here yet, but there is a dataframe library[3] for Nim[4]. Nim is a strongly typed language with a Python-like syntax which compiles to C and is apparently quite fast. It has multiple options for garbage collection but also supports manual memory management. It offers lisp-like macros for implementing DSLs, which the dataframe library I mentioned uses quite a bit. The main problems with Nim are of course the lack of libraries and the need for a notebook-like environment such as Jupyter, which are certainly big problems indeed. But I think that Nim is something to look out for over the next few years.
As much as I like Deedle and F#'s features, I've personally decided to abandon the use of Microsoft technologies due to their many user-unfriendly actions regarding Windows 10 and privacy. I don't fault anyone else for using Deedle, though, because it is a nice tool. This is just a personal decision of mine.
[1] http://bluemountaincapital.github.io/Deedle/ [2] http://fsharp.org/guides/data-science/ [3] https://github.com/bluenote10/NimData [4] https://nim-lang.org
>>I started out learning programming using Python and gradually came to prefer strongly typed languages.
Python IS strongly typed. It is also dynamically typed.
throwaway_374 commented on Show HN: Friendtainer – Get reminded to meet with friends regularly friendtainer.com... · Posted by u/miloszpp
Is it just me that is jaw-droppingly astounded at why this is getting any love at all as a concept? Really great execution and design, but I simply cannot get on board with the concept. It is literally specialised calendar alerts and has no USP whatsoever. I'm amazed people are actually suggesting they would pay for this service.
I honestly thought this was a parody app as a social experiment performance art to highlight social media behaviour. Sorry, love the design and execution, but product has zero intrinsic value.
throwaway_374 commented on Ask HN: What book is considered the bible of your field/industry? · Posted by u/machtesh
I took the class at Harvard created by the authors of this. As they pointed out, it's not a textbook, it's a reference book. So it's very hard to learn electronics by reading it.
Yes, certainly has a great reference of circuitry but absolutely not pedagogical. That dull grey hardbound cover shudders.
throwaway_374 commented on Ask HN: How has Facebook figured out my family doctor as a friend suggestion? · Posted by u/throwaway_374
Besides every other suggestion here, couldn't it be that your doctor actually is a friend of a friend?
Not possible as zero mutual friends, unless second degrees are considered which based on all other suggestions is not the case and would naively scale factorially (?).