Data science is often… tedious work. 😅
We knew this going in, but here’s the thing: don't make it sexy until you can nail the boring 100%. 🚀
Read about it in my new post on Medium:
#datascience #burnout #innovation #strategy #problemsolving
sthornewillve.medium.com/deliver-valu...
In data science, speed can be tricky to master.
Careful, deliberate work moves faster in the ways that matter 🐢, while frantic work 🐇 collapses, achieving nothing.
Learn about why slowing down is the smartest way to move forward in my latest article.
medium.com/@sthornewill...
#datascience
This is my Go YT channel in case anyone wants to give a follow 😝
The problem isn’t the bot 🤖, It’s the questions you’re asking it.
I wrote about how to stop turning LLMs into digital sycophants,
the key is to get better at disagreeing with yourself.
Read all about it here: medium.com/ai-in-plain-...
If you let AI do all the thinking, you’re outsourcing your mind 🧠, and that's no fun.
Learn the 4 principles I use while interacting with LLMs.
🚗 Stay in the driver’s seat
🔍 Know when to step back
🎯 Give it for small tasks
🧱 Provide scaffolding
Read about it here 📖:
medium.com/@sthornewill...
It’s all you! Keep it up!
It's funny how I've had ADHD my whole life, but only in the recent years that I've come to understand it better, which I would like to share to raise awareness.
Read about it in my new article; sthornewillve.medium.com/what-ive-lea...
#ADHD #neurodiversity
My cat keeps knocking over my mugs! 🐈☕ I expand upon a previous example to teach Bayesian linear modelling and how to avoid overfitting.
It’s a gentle intro to Bayesian linear modelling 📊🔍, read more about it here: sthornewillve.medium.com/how-i-modell...
#Bayesian #stats
There's a lot of hype around Bayesian statistics, but learning how to use it is hard! 🥵 This post shows you how to fit the simplest possible model, calculating an average!
Take your first step into Bayesian modelling in my new article: sthornewillve.medium.com/babys-first-...
#Bayesian #stats
I’m glad you enjoyed it!
You’re off to a great start, welcome to the game
#Go / #Baduk is an ancient and mysterious game. After a decade of playing, it’s shaped not just how I think but who I am.
It taught me to challenge assumptions, develop aggression, and accept that mastery is impossible.
Read more about it here ⚫⚪: sthornewillve.medium.com/im-a-1-dan-g...
Businesses often make decisions while facing uncertainty and limited data. Bayesian methods offer a principled way to update beliefs and reduce risk. 🎯
Learn why more companies should embrace this approach in my new article: sthornewillve.medium.com/why-bayesian...
#Bayesian #stats #business #tech
When I transitioned from chemistry to data science 7 years ago, I thought mastering the technical side was the key to success 🎓📊 but I was still missing on some key skills.
I break down the most important things I’ve learned in my latest Medium article:
sthornewillve.medium.com/these-are-th...
Writing and note-taking will 10x your productivity. 📝
I've seen huge benefits from using Obsidian to organize my thoughts and produce higher-quality work: sthornewillve.medium.com/writing-and-...
Abstract for our newly accepted article at PRQ: Signed, Sealed, Counted? An Experimental Study of Mail-in Ballot Signature Verification
Election officials are increasingly reliant on computer algorithms to help verify mail-in ballots. But does the use of algorithmic tools impact voters’ confidence in elections? My colleagues and I explored this (and more) in our new piece for PRQ. Here are some key highlights: 1/5🧵
lnkd.in/eNr34x-E
This was a big one for me, still is probably.
Happy new year! I wish you all moisturisation and victory
I mean this for general learning, since I realise the context for this post was coding where it’s almost redundant because of how code tends to change.
Yeah, it’s unfortunate that I relied on it as heavily as I did during uni. It was just what everyone was doing and in the mid-2010s spaced repetition was the big hype.
Generally memorisation has narrow use and should be used very sparingly for its high cost/benefit ratio.
It does take real strength to look on the positives, it’s a practice that I’ve been working on.
Although there’s also something to be said about being content even when there’s no good news and to be working to be the change you want to see in the world.
A lot of the anxiety surrounding Bayesian stats is the loss of objectivity.
But often we haven't discussed on what "objectivity" would look like, when we don't then how can we expect our analysis to be convincing?
It's only recently that I understand that this is a understated benefit of Bayesian stats.
Perhaps it's a lot of effort for problems that don't matter that much, but if there is sufficient anxiety surrounding a decision then being able to explain how you get to your conclusions is vital.
I.e. Your consciousness and representation of the world fills in the gaps left by a system that doesn’t have this. (And biases will leak in as a result.)
I think this is an important question beyond just research. An important thing is that LLMs are word predictors and so isn’t a robust “way of knowing” and understanding both of these is key to using it well.
Everything must be verified, driven by and passed through you, this maximises benefit.
That’s the best part about the word! ❤️ ⚫️⚪️
Now here’s a union I can support 👊 (All unions are good unions, but still.)
I’m not sure the evidence is out there and even if it did what would it change in your life?
Regardless of the answer, you’re here. Me too.
You’re not going to find this answer through philosophy of science though. There are only more questions for you and not many answers.
That’s quite interesting because I mentioned in other post how when you learn philosophy of science then you’ll find that lots of seemingly simple questions are quite difficult to answer.
I’m a bit confused as to why you’re so interested in this, isn’t it a bit esoteric?
Most people don't have a way to keep those notes to hand when they're needed.
Everyone else in the comments are right when they say that just making them is good for your learning, but I've found that there is a lot of untapped potential within them.
