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No, you most probably don’t know what p-values and confidence intervals mean (but don’t feel bad about it, you can just do Bayesian instead)

Maximilian Speicher

Tales of Design & User Experience (ToDUX) #16 ⁂ Dear readers & friends, Studies have shown over and over that even professional researchers (including statisticians!) can’t correctly interpret a confidence interval or a p-value most of the time. Then, how could you expect the...

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A new kind of AutoML: On the fallacy of many-shot in-context learning with LLMs and PLMs

msuzen

Extension of this post, appear as a short article with a conjecture:Mehmet Süzen. In-context learning as a new kind of symbolic-AutoML: Lyapunov conjecture for CoTs. 2024 HAL FrancePreamble A graph path (Wikipedia)With the common usage of  Pre-trained Large  Language Models (PLMs/LLMs), now it is...

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Tesla Model 3 Consumption with Roof Rack and Bike Rack

kootenay andrew

A few years ago, I reported on my experience installing the Tesla roof rack on my Model 3 (apparently the bolts are a bit longer now and easier to install), and shortly afterwards I tested the impact on consumption/efficiency (i.e. how much did the Wh/km change?) A few months after that last...

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Computational Epidemiology and Data Scientists: Don't post analysis on outbreak arbitrarily

msuzen

Summary Many data scientist are trained or experienced in using tools to do statistical modelling, forecasting or machine learning solutions, this doesn't necessarily mean that they should just jump out and do an ad-hoc analysis on the available public data on the covid19 outbreak and draw policy...

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A simple and interpretable performance measure for a binary classifier

msuzen

Kindly reposted to KDnuggets by Gregory Piatetsky-Shapiro  Preamble The core application of machine learning models is a binary classification task. This appears in polyhedra of areas from medicine for diagnostic tests to credit risk decision making for consumers.  Techniques in building...

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Teaching to machines: What is learning in machine learning entails?

msuzen

Preamble Ebbinghaus (WikipediaMachine Learning (ML) is now a de-facto skill for every quantitative job and almost every industry embraced it, even though fundamentals of the field is not new at all. However, what does it mean to teach to a machine? Unfortunately, for even moderate technical people...

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