rrherr

Nice! You might like these links too. "Machine Learning Meets Economics", uses manufacturing quality as an example.

http://blog.mldb.ai/blog/posts/2016/01/ml-meets-economics/ http://blog.mldb.ai/blog/posts/2016/04/ml-meets-economics2/

For another option, similar to the Udacity course, I recommend this: http://www.dataschool.io/machine-learning-with-scikit-learn/

Awesome, thanks for sharing! A JavaScript notebook with D3 is just what I've been wanting. I'm wondering, what are the pros & cons of Kajero compared to using JavaScript in Jupyter or Beaker? https://news.ycombinator.com/item?id=10127540

> How does one 'deliberately practice' writing?

See Venkatesh Rao's Quora answer: https://www.quora.com/What-are-some-tips-for-advanced-writer...

“Writing is a skill like any other, and the famous 10,000 hour rule should apply, and it does, but not in the way you might assume. A prolific writer can usually churn out about 1000 reasonably decent words in an hour, so if you count in words, it might seem like 10 million words would be enough. Or at 4 hours a day, 250 days a year, about 10 years.

The problem is everybody writes. And yes, things like emails count. So any idiot can clock that many words in 10 years even if they only do a lot of casual/work email and texting. ...

What matters is not how much you write, but how much you rewrite. ...

The HUGE difference between everyday writing that everybody does and serious writing is the proportion that is re-writing. I'd estimate that for non-writers, rewriting accounts for maybe 10-20% of their writing.

For serious writers, it accounts for anywhere between 50-90% depending on how critical the particular piece is. ...”

Very true. And for some skills, like juggling specifically, even the very top might not be good enough:

"Why did Anthony Gatto, the greatest juggler alive — and perhaps of all time — back away from his art to open a construction business?"

http://grantland.com/features/anthony-gatto-juggling-cirque-...

Yep: https://xkcd.com/1570/

How to avoid being arrogant:

"Assume that your part of the project is the easy part." [1]

"Here’s a polite person’s trick, one that has never failed me. ... Ask the other person what they do, and right after they tell you, say: 'Wow. That sounds hard.'" - Paul Ford [2]

[1] http://beyondmanaging.com/2014/09/assume-yours-is-the-easy-p...

[2] https://medium.com/message/how-to-be-polite-9bf1e69e888c

tmpnb launches temporary Jupyter notebook servers using Docker containers:

https://tmpnb.org https://github.com/jupyter/tmpnb

For Color Brewer palettes in Python, you can also use Seaborn, which is based on matplotlib.

http://stanford.edu/~mwaskom/software/seaborn/tutorial/color...

Written by Fr. Robert Sokolowski, a Catholic priest and professor of philosophy. [1]

Included in "The Artificial Intelligence Debate: False Starts, Real Foundations", published by MIT Press. [2]

[1] http://philosophy.cua.edu/faculty/sokolowski/ [2] https://mitpress.mit.edu/books/artificial-intelligence-debat...

Sounds great!

You mentioned to Akumma that "the pre-test before the trial project depends on the position. For Data Wranglers it is very different from the one you had."

So, given that you're hiring both data scientists and data engineers, do you give a different pre-test, depending on which role the candidate leans more towards?

I'm intrigued by the Data Wrangler job description. Is it a hybrid role, like 50% Data Engineer + 50% Data Scientist? (Or did I misunderstand the description?)

I've just started working on a statistical approach to generate banjo arrangements in the style of Earl Scruggs, father of bluegrass banjo. Like you said, statistical analyses of existing compositions and recomposition based on that. The difficulty so far is data acquisition & prep - I'm entering & annotating transcriptions manually. A lot of work for something that's unlikely to succeed, but it's fun. If I get any results worth sharing, I'll put it on HN.

Check out this talk about giving & getting technical help: http://blog.sashalaundy.com/talks/asking-helping/

"That's a problem for Future Homer. Man, I don't envy that guy."

https://www.youtube.com/watch?v=jQvvmT3ab80

The author was arguing the opposite.

An inspiring story. Jeff Hammerbacher seems like a fascinating individual, a true polymath / renaissance man. Here's another good interview: https://www.youtube.com/watch?v=iq8R__O8mNc

Any examples of other companies with an awesome hiring process like this?

I like Venkat Subramaniam's "Scala for the Intrigued." There's a 12 part article series[1], and a video.[2]

1: http://blog.agiledeveloper.com/2012/08/scala-for-intrigued-a... 2: https://www.youtube.com/watch?v=grvvKURwGNg