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Scatter upside-down

Hand-written caption

The same post in a slightly different format. Let's try and see what's work better for us. Designing an MSE Dataset Intro Today I want to break our strict posting sequence and jump to a current problem. I want to open my

Great news everyone! I turned on autotranslate on this channel, so everyone can read posts on their favorite language.

[https://t.me/boost/phys_math_dev](<https://t.me/boost/phys_math_dev>)

[⁠](<https://t.me/iv?url=https%3A%2F%2Ftarstars.github.io%2Ftelepub%2Fmse_dataset%2Findex.html&rhash=335bb2b74c586e>)

Congratulations! We just defied the laws of math: over 100% of our subscribers read this.

I have just tested one more way to publish Instant View articles. It uses U+2060 WORD JOINER (copy between brackets) [⁠] Trick is to copy invisible character from between brackets, set link on it with ctrl+k and publish

[⁠](<https://t.me/iv?url=https%3A%2F%2Ftarstars.github.io%2Ftelepub%2Fgood_looking%2Findex.html&rhash=335bb2b74c586e>)

Forging the algorithm The main idea behind vanilla gradient boosted decision trees 𐂅Loss function 𐂅Split procedure 𐂅Tailor expansion 𐂅Expression for minimum 👉

Latex in Telegram I came up with the temporal solution for publishing texts with math expressions included. It doesn't allow to put formulas in the middle of the string and quite cumbersome to use, but it works. One can

Math in Telegram Intro Change of subject. I’m feeling, probably, like Knuth felt 50 years ago. I started typing a Telegram post, and when it felt appropriate to add a simple mathematical expression, I hit a brick wall. A

Intro In previous posts I explained why using gradient-boosted decision trees “as is” is problematic for credit scoring and gave a glimpse of the factors used in this area. Today let’s discuss the approach Equifax used t

Credit scoring problem statement In the previous article, I mentioned the credit-scoring task and noted that results can be unstable and model quality degrades over time. Let’s dive a little deeper. When I try to recall

Here it is— a historical picture of a modification my friend and I made to gradient-boosted decision trees. It all started at Equifax. In 2016—almost ten years ago—I tried to become part of a credit-scoring project. At t

Hello everyone! This is a place for me to share my pet projects and everything that bothers or fascinates me right now. It can be almost anything: a new book, a half-baked DIY idea, a mathematical trick, or part of a lon