There is an organization called @thecarpentries that is focused on teaching basic software and data concepts to academic researchers, government employees, etc.
The idea is to empower them to do more than just munge spreadsheets; to inspire and teach how to automate tasks. (1/n)
The idea is to empower them to do more than just munge spreadsheets; to inspire and teach how to automate tasks. (1/n)
The Carpentries was founded by Greg Wilson, and I ♥️ everything about it - the practical curriculum, the obsessive focus on pedagogy, the dedication of its instructors, how it can transform students' lives.
One of my favorite anecdotes, via Greg, is from a class he taught (2/n)
One of my favorite anecdotes, via Greg, is from a class he taught (2/n)
to a dozen or so grad students.
Greg had just shown how to create a nested for loop - very basic! - and one of the young students in his class burst into tears.
Why? Because they'd been manually running a task for months - monitoring it, at odd hours - and could have just (3/n)
Greg had just shown how to create a nested for loop - very basic! - and one of the young students in his class burst into tears.
Why? Because they'd been manually running a task for months - monitoring it, at odd hours - and could have just (3/n)
written a script to solve the problem. No sleepless nights, no wasted time.
And *every other researcher* in that grad student's lab knew how to code; could have helped, if the student knew automation was a possibility.
I feel similarly about machine learning, for academia (4/n)
And *every other researcher* in that grad student's lab knew how to code; could have helped, if the student knew automation was a possibility.
I feel similarly about machine learning, for academia (4/n)
There is a revolutionary opportunity in research to remove tedious, labor-intensive, manual data cleaning, data analysis, and hand-classification work.
It would *transform* the way researchers in the social sciences, biology, natural sciences run experiments and analyze (5/n)
It would *transform* the way researchers in the social sciences, biology, natural sciences run experiments and analyze (5/n)
results. And, most importantly: it would accelerate their ability to try new approaches, to rapidly prototype + iterate on ideas.
I ♥Greg's rules, but there is especially truth in #4: the magic comes in knowing just that one extra small thing that extends yr existing knowledge.
I ♥Greg's rules, but there is especially truth in #4: the magic comes in knowing just that one extra small thing that extends yr existing knowledge.
What I'm trying to say:
I'll be using my upcoming intro to machine learning workshop for the geosciences department at @RiceUniversity as a first iteration of a @thecarpentries-esque ML course.
Would appreciate any beta testers, if y'all are game. 😁✨
I'll be using my upcoming intro to machine learning workshop for the geosciences department at @RiceUniversity as a first iteration of a @thecarpentries-esque ML course.
Would appreciate any beta testers, if y'all are game. 😁✨
It took a while to figure out: but I think my gift is being able to break down complex topics in an understandable way
my frustration is needless waste and complexity + pointless blockers to the creative process
and my passion is machine learning.
♥️✨
my frustration is needless waste and complexity + pointless blockers to the creative process
and my passion is machine learning.
♥️✨
