Egor Dmitriev

Recent Posts

Building Boosters: A Gradient Boosting Library from Scratch
Feb 03, 2026
Regularization and Hyperparameter Tuning
Feb 01, 2026
Trees and the Split Gain Formula
Jan 27, 2026
XGBoost vs LightGBM: A Practical Comparison
Jan 22, 2026

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Blog

Jan 27, 20261 min read

A collection of articles about machine learning, data engineering, and software development.

16 items under this folder.

Feb 03, 2026
Building Boosters: A Gradient Boosting Library from Scratch
Feb 01, 2026
Regularization and Hyperparameter Tuning
Jan 27, 2026
Trees and the Split Gain Formula
Jan 22, 2026
XGBoost vs LightGBM: A Practical Comparison
Jan 18, 2026
Exclusive Feature Bundling and Categorical Features
Jan 16, 2026
Gradient-Based Sampling (GOSS)
Jan 14, 2026
Depth-Wise vs Leaf-Wise Tree Growth
Jan 12, 2026
Histogram-Based Split Finding
Jan 08, 2026
Functional Gradient Descent
Jan 06, 2026
What is Gradient Boosting?
Feb 09, 2024
Deploying SageMaker Pipelines Using CloudFormation
Dec 16, 2023
An Introduction to Large Language Models
Aug 13, 2023
Overview of Data Lineage
- data-engineering
- dataops
Jun 20, 2023
Data Quality Testing with Deequ in Spark
- data-engineering
- spark
May 12, 2023
Introduction to Data Quality
- data-engineering
- dataops
May 10, 2023
Hello World!
- markdown

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