Is machine learning merely a form of curve-fitting?
#machinelearning #ai #curvefitting #linearregression #buzzwords
Is machine learning merely a form of curve-fitting?
#machinelearning #ai #curvefitting #linearregression #buzzwords
@stfn Yeah, #machinelearning is only #maths. Back in university that was called #statistics and #CurveFitting
Predicting Ordinary Differential Equations with Transformers
https://arxiv.org/abs/2307.12617
The application of ML / transformers to ODE is fascinating.
There's a terrific 2019-01 blog post that covers this (and more!): ️
Understanding Neural ODE's
https://jontysinai.github.io/jekyll/update/2019/01/18/understanding-neural-odes.html
Discussion: https://news.ycombinator.com/item?id=18978764
Transformer (machine learning model): https://en.wikipedia.org/wiki/Transformer_(machine_learning_model)
Have you tried @LabPlot? It's an easy-to-use, open-source, cross-platform curve fitting, data visualization and analysis (and much more) software.
It has a YouTube channel with short video tutorials.
https://www.youtube.com/@LabPlot/videos
Here is list of @LabPlot features:
https://labplot.kde.org/features/
If you are looking for a curve fitting software, check out @LabPlot. It's easy-to-use, open source and cross-platform. Among many other things, it can also be used to fit statistical distributions.
How To Fit a Curve in LabPlot:
https://www.youtube.com/watch?v=gLDwTVl8XCA
Here is a 2019 tutorial project I did for people new to #MachineLearning and who may have rusty Calculus skills (which I tried to gently re-introduce).
This simplified intro covers some #ML concepts from the perspective of least-squares curve fitting, perhaps a more intuitive topic.
R source code is included for the 50+ plots and their calculations.
https://sites.google.com/view/rcreamer/home/techstem/mlintro