Taras Baranyuk

CORE

Staff machine learning engineer at Bidease

Joined Mar 2021

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Reputation:	317
Pageviews:	46.9K
Articles:	6
Comments:	2

Articles
Comments

Articles

Low-Level Optimizations in ClickHouse: Utilizing Branch Prediction and SIMD To Speed Up Query Execution

ClickHouse accelerates queries using SIMD and optimizes block processing. It picks the best function implementation, boosting performance on AVX2 processors.

September 16, 2024

· 4,351 Views · 3 Likes

ClickHouse: Windows Functions From Scratch

Windows functions in ClickHouse simplify complex data analysis and aggregation,

February 12, 2023

· 2,962 Views · 6 Likes

ChatGPT for Newbies in Data Science

This article gives a brief description of what ChatGPT is. In simple words, for those who are not at all familiar with data science and machine learning.

February 10, 2023

· 5,350 Views · 4 Likes

Common Table Expression in ClickHouse

What is Common Table Expression(CTE)? In this post, learn how to use CTE in the ClickHouse database and follow along with use cases with examples.

July 8, 2022

· 8,358 Views · 8 Likes

Boosted Embeddings with Catboost

In this article, gain insights into Catboost, which is a simple and lesser-known way to use embeddings with gradient boosted models.

Updated August 26, 2021

· 7,048 Views · 15 Likes

Mobile Apps Dataset

This article includes a presentation of a new free mobile apps dataset. We also discuss how to create a CatBoost Model, complete with open-source datasets.

May 21, 2021

· 11,950 Views · 12 Likes

Comments

ChatGPT for Newbies in Data Science

Feb 14, 2023 · Taras Baranyuk

I hope readers have bought some of the post-irony of this article.

Boosted Embeddings with Catboost

Sep 29, 2021 · Taras Baranyuk

update: I got comments from developers:

“Thank you for the report! This bug was fixed in the commit and will be in the next release”