Ned Charles @diffusioned
Computing, statistics, machine learning, diffusion MRI. Rugby shill. Ambient 🎶. nedcharles.com Colorado Joined May 2014-
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Good statistical practice can increase your chances of being correct while decreasing your chances of being published. Conflict of interest.
"Do not fall for the illusion that by preventing errors, you won’t have errors to fix. The truth is, the cost of preventing errors is often far greater than the cost of fixing them." -- Ed Catmull
The first rule of machine learning: Do not start with machine learning. Instead: 1. Start with a rule-based implementation 2. When the rules become complex, upgrade to a simple model 3. When you reach the limit of your model, upgrade to a more complex one
If you’re building things for developers, never neglect to invest in teaching. “Easiest to learn” is pretty much the highest leverage advantage you can have.
I published a summary about some AWS Lambda code I wrote that takes a Python package from PyPI and creates a new Lambda layer to be imported by other Lambda functions: nedcharles.com/software/Pytho… GitHub: github.com/diffusioned/Py…
The risk with applying statistical methods is that non-determinism means that serious bugs go uncaught for long periods of time: open.nytimes.com/how-we-rearchi… "Tests that were supposed to allocate users into control and experimental groups were sometimes off by five percent or more."
So my advice. Everything in Computer Science is a trade off. There is no universally superior language. Whatever you do, understand what the tradeoff are why you are making them. Don’t let it descend into a political war between opinionated factions.
I wrote another article on NLLS Regression in Python and how to speed up your data fitting processing using the multiprocessing module: nedcharles.com/regression/Usi…
I recently wrote an article about Nonlinear Least Squares Regression fitting using Python, looking at fitting algorithms with the SciPy and LMFit modules. nedcharles.com/regression/Non…
When people say they shouldn't blog about something that's already been blogged about #CodeNewbie
When you hear that a method is optimal, ask 'By what criteria?' and 'Subject to what constraints?'
How to ship ML in practice: 1/ Write a simple rule based solution to cover 80% of use cases 2/ Write a simple ML algorithm to cover 95% of cases 3/ Write a filtering algorithm to route inputs to the correct method 4/ Add monitoring 5/ Detect drift ... 24/ Deep Learning
One of my most controversial software opinions is that your sleep quality and stress level matter far, far more than the languages you use or the practices you follow. Nothing else comes close: not type systems, not TDD, not formal methods, not ANYTHING. Allow me to explain why.
Why is every job description like “THIS IS A FAST-PACED ENVIRONMENT! IF YOU COME WORK FOR US YOU’LL BE SO FUCKING STRESSED! YOU WILL SHIT OUT YOUR OWN INTERNAL ORGANS!! Pizza and ping-pong on fridays”
The OSS community has yet to come to grips with “Companies with $50 million in the bank send an incredible volume of support requests to people who are worried about making their $600 rent, and the community and culture in OSS makes this feel normal.”
The OSS community has yet to come to grips with “Companies with $50 million in the bank send an incredible volume of support requests to people who are worried about making their $600 rent, and the community and culture in OSS makes this feel normal.”
X : I know you says it's a commodity but we've decided to custom build this software. It creates a better brand experience. Me : Do you know how much that is costing you? X : It's just engineering time. Me : Oh god ...
I won't hire a plumber without seeing some of the public toilets they've unclogged in their spare time, for fun.
1/ “We note that the practice in applied research of concluding that a model with a higher predictive validity is “truer,” is not a valid inference."
🔥 Tip: I've avoided *thousands* of bugs with this crazy coding trick that seems to work in every language: GO TO BED. YOU'RE TIRED. NO SHUT UP JUST SLEEP.

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