Archive · page 11

Three out of eight Let's check three out of eight components. On the colored picture you can see the whole title. Let’s inspect three of the eight components (the colored figure shows the full title). The first component

Four basis functions. To build the MSE dataset I used four basis functions: 1, t, sin(50t), cos(50t). Why these four? 𐂅 Constant never hurts — it lets the curve shift up or down. 𐂅Linear captures any overall trend. 𐂅sin

Tree. From Gradient Boosted Decision Trees. In playing with some technology or algorithm, my favorite moment is that elusive, transitional state when it’s still a little bit “wtf?” and yet already a solid—though not yet

Retrophotos. Physics. It’s a photo from my previous life as a physicist. To be honest, it’s one of the greatest surprises of my life. You take a glass-clear piece of diamond—perfectly transparent and homogeneous. You put

The key graph in catching a culprit: basis functions. In wrong basis functions there wasn't any periods, just one slope.

The first group in the dataset

Some simple EDA steps: number of components in the whole dataset

It's alive! Finally I ran the full cycle of training and applying my EGBDT model in JupyterLab. I spent two days in a very unpleasant debug session because I broke a simple rule: Always do EDA! EDA—Exploratory Data Analy

How to set up openai helper in jupyterlab For quite a while I was procrastinating quite a simple task: to set up AI assistant in jupyter lab. Here I want to write down a sequence of steps for memory. * set up environment

Meta joke - joke about LLM cognition. To be honest, I didn't get this joke until asked iron friend to explain it.

The final dataset

The second dataset with all letters capital

The second iteration of RANSAC approach

narrow band

extrapolating function

How to find linear superposition in chaos Now we have a set of points which, while fairly random from a mathematical point of view, give us a depiction of the “Extra Boost” sign. For my method, I need to find several gro

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