04-7: Ensemble Learning - XGBoost (앙상블 기법 - XGBoost)

04-8: Ensemble Learning - LightGBM (앙상블 기법 - LightGBM)

[Paper Review] XGBoost: A Scalable Tree Boosting System

04-6: Ensemble Learning - Gradient Boosting Machine (GBM) (앙상블 기법-그래디언트 부스팅)

[핵심 머신러닝] Boosting

[논문 리뷰] Local Information Matters: A Rethink of Crowd Counting

01-1: Dimensionality Reduction Overview

[Paper Review] Denoising Diffusion Probabilistic Models

[Korea University] Business Analytics (Graduate, IME654)

[딥러닝 기계 번역] Transformer: Attention Is All You Need (꼼꼼한 딥러닝 논문 리뷰와 코드 실습)

트랜스포머 (어텐션 이즈 올 유 니드)

[인공지능 15강] XG 부스트 (XGB)

01-4: Dimensionality Reduction - PCA

[Paper Review] Patch-wise Structural Loss for Time Series Forecasting

XGBoost in Python from Start to Finish

Доступное объяснение ROC и AUC!

Jake Paul vs. Anthony Joshua FULL Highlights | Netflix

[튜토리얼 번외](2/2) XGBoost 소개, 캐글 우승자 인터뷰 소개, 부스팅 알고리즘을 사용해서 점수를 올려보기 - 머신러닝 NLP

[핵심 머신러닝] Shapley Value (Explainable AI)

Новое обновление Gemini + NotebookLM — это просто БЕЗУМИЕ!

Sondaż Rosjan na ulicach o podsumowaniu roku