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One could also say that agriculture changed machine learning via RA Fischer, pioneer of modern statistics - https://en.wikipedia.org/wiki/Ronald_Fisher#Rothamsted_Exper...


From my experience, I would offer the generalization that nobody hires mathematicians. Mathematics in society is more of a skill set than a professional title. The most challenging or cutting edge math that could be commonly used is the LINEST() function in Excel. A person who is good at math also has a lot of great skills to offer a company, it is just selling those features and not the calculus.

I started out as a math major, then I transitioned to a double major math AND stats because stats is more applicable. I struggled for a year looking for work (also US immigration sucks, even for Canadians) and ended up in a master degree program in Industrial Engineering. I chose engineering specifically for the word "engineering". I was lucky that I discovered the field of Industrial Engineering at that university otherwise I was headed for a BS in Mechanical.

Continuing formal math education will further limit the kind of jobs you can apply, increasing the level of competition. Even the BS in Math left me with the feeling people saw me as over qualified, lacking regular skills.

Math is super great by the way, just not the idea of being a "mathematician". It (unfairly) causes alienation of your true potential.


This is my sentiment as well. I have BS in math and MS in applied math and now work as a data analyst. Problem solving and abstracting problems to general properties and attributes are the most worthwhile skills that my math education has provided me, at least as marketable skills. I learned R and python on my own and no doubt this has been a huge help in finding jobs, and has allowed me to be closer to the tech at my jobs versus a more traditional excel based biz analyst role. This has allowed me to learn a lot more on the job, like being able to directly touch dbs, create my own ETLs, learn AWS products, etc.

You (OP) may take for granted the way that your math education shaped your brain to think about things. Don't. This mode of thinking is one of your biggest assets that employers are after.


What is the difference between mech and industrial?


Mechanical engineers make things, industrial engineers make things better. The discipline started in the 1900s mostly concerned with improving manufacturing efficiency and cost. Now it has grown to improve all facets of product quality and business process (physical and digital). It is one of the best disciplines to use applied math. https://en.wikipedia.org/wiki/Industrial_engineering


Industrial engineers work on production processes. You can't make a bridge better without fully "grokking" the physics behind the original design. It isn't exactly amenable to incremental improvement.


https://www.youtube.com/watch?v=g8UePdbDmMw This was one of the keynote speakers at the 2015 IISE National Convention. Nancy Currie was/is works for NASA and has education in Industrial Engineering. She worked extensively investigating the Columbia space shuttle incident. Her involvement shows how industrial engineers participated in making space flight safer / better. It's really not grokking the physics that can make things better. Excellent presentation.


Video by CGP Grey on a similar topic - Humans need not apply - https://www.youtube.com/watch?v=7Pq-S557XQU


an example of this in science - http://xkcd.com/1133/



If you use the central limit theorem truly as a theorem, then you're using it correctly. Either a theorem applies or it does not. That's the point.


Any theorem in statistics really. Also, Godel's Incompleteness Theorem.


The height vs weight chart is screaming for a linear regression line.


The point of which would be pointing out that morbidly obese or underweight people don't make world-class athletes?


Depends on the sport. Chris Froome, for instance, is one skinny dude: http://inrng.com/2014/06/the-moment-the-race-was-won-2014-da... - he's the one in the yellow jersey in the 3rd picture.


He's not exactly winning many sprints. Checking out UCI World Ranking #1's on the graph, they're reasonably in the middle.


agreed


This problem is like Project Euler #1. You don't strictly need to divide. I prefer to skip along the array and put in the new values.

  n,f,b= 100,3,5
  a = [str(i) for i in range(1,n+1)]
  for i in range(n/f):
      a[(i+1)*(f)-1] = 'Fizz'
  for i in range(n/b):
      a[(i+1)*(b)-1] = 'Buzz'
  for i in range(n/(f*b)):
      a[(i+1)*(f*b)-1] = 'FizzBuzz'


I want to bring up the fact that there is a town in Texas called Canadian [http://en.wikipedia.org/wiki/Canadian,_Texas], and that is probably where a woman reported the guy. Also a county in Oklahoma, [http://en.wikipedia.org/wiki/Canadian_County,_Oklahoma].

This story has nothing to do with Canada the country.


I think the important distinction is that he is at home in the regular environment. If you are away from home without the family, everything is different; while at home only the absence is different. This absence feels massive because of the magnitude of habits formed participating in a family unit.


Ahh, that's a very good point.

When I was away from my family, I was in a different environment( new job) so to me everything was new and exciting.

For him, he's still at home nothing's changed, so he has a much clearer frame of reference to remind him of his family.


Also note that he said "The truth is that I don’t cry because I miss them, I cry because I never fully appreciated ....." . He doesn't cry because he misses them. It is true with me as well and probably other folks who are claiming they don't cry. I too don't cry just because I miss them, but there are moments when the mind wanders into deeper thoughts , like what really matters in life, the silly little arguments you may have had with your wife in past, the times you ignored your kids needs (taking them to parks, play with them by putting aside your laptop etc) etc, and realize how silly those mistakes were, and how easily they could have been prevented when you think about the bigger context/meaning for your life is that time you spend happily with family and it is not going to come back. Time lost is lost forever. It is thoughts like these that make me cry, make me modify my future behavior for better.

Btw, I go thru this cycle of "self-realization/self-correction and then when the family returns back from vacation , then slowly getting back to the lazy original attitude of taking some of the things for granted about family and then back to summer and missing the family" :-).

I just hope that each of these cycles keeps making me a little better person than before!


I am having trouble processing some cognitive dissonance when comparing your parable of the "Crazy Egg Enterprise Edition" but then using pricing strategies to take advantage of the sane kind of managers. While, I understand the concept of feature segmentation, I supposed should not be concerned with how other people run their business. I only need to focus on my profitability and not being a sucker.


I suppose it's all in the wording. Have the cheaper options but don't call them enterprise, and then have the really expensive enterprise option for managers for who the pain of being called anything but is more than a slight blip in the budget.

Giving them ways to pad their budget was also an eye opener for me. The idea that they might not even be conforming to our rational actor model of balancing cost and value opens up new pricing considerations. I wonder if a monthly 'flex' option where they can temporarily boost their budget to some ridiculous figure would work. The engineer in me does cringe at the thought of it though


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