Archive · page 8

Big MSE dataset for GBDT In the previous post I demonstrated a small dataset that shows how GBDT works. Now I want to present you quite a big one. There are 10 000 points in it. I wasn't happy with the quality of the tex

Liquid Nitrogen Station An attentive reader of one of my previous posts about the diamond plate in an electron microscope could notice a repetitive note: let's pour liquid nitrogen here, let's pour liquid nitrogen there.

Torus navigation Problem statement: issue control commands on torus map to navigate bot to a given point. Essence * pythonic (x2-x1) % n gives eastward toroidal distance * easier to think in "direction first" terms * go_

Dawn of the day It dawned on me today that Harlequin ↔️ Harley Quinn. An example of paronomasia (a pun)—more specifically, it works like an eggcorn/mondegreen for a proper name

Some time ago my friend, who worked with native English speakers, told me that when they worked with a colleague on a piece of technical documentation, the word “she” suddenly appeared referring to the “user.” They discu

Eggcorn of the day Bone apple tea → bon appétit

Hello everyone! I really appreciate that all of you have signed up for my channel. It's kinda touching, and I feel a little bit awkward just writing about GBDT and TFWR (but what else could I write about…). So, I’d like

TFWR. Navigation. In order to navigate the drone, there are get_pos_x(), get_pos_y(), and move() functions. move() takes East (x + 1), North (y + 1), West (x − 1), and South (y − 1) commands. get_world_size() is useful t

Memories Awakened by “The Farmer Was Replaced” It seems like a very trivial question: “What should a drone do if it is on the lower (South) edge of the field and it has a move(South) command to perform?” But, strangely,

The Farmer Was Replaced In one of ML channels I'm reading, I found a reference to the game "The Farmer Was Replaced". Here you are to write programs on a language which is quite similar to Python, but is not quite Python

Everybody wants to be like ewe [Track on youtube ](<https://youtu.be/LjQ0hO89xrw?si=8Ubzxl9JjMLISk9C&t=17>) Just a small reminder: 🐑Homophones - "you" and "ewe", same pronunciation but different meanings 🐑Homographs - sa

The Absolute Evil of Default Parameters Default parameters are evil. Seriously. It’s very convenient evil—so convenient that it crawled into my library. On the first image there is a call to train a model with: 🐴n_stages

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