C7_Methodologies
인공지능 모델의 학습과 운영에 사용하는 방법론을 정리한다.
Artificial Intelligence
PyTorch
LG AI연구원 7기
AI Ethics
SCM과 수요 예측
Causality
Reinforcement Learning
- 01_MDP & Planning
- 02_Model-Free Policy Evaluation
- 03_Model-Free Control
- 04_Function Approximation
- 05_Deep Q Learning (DQN)
- 06_Policy Gradient
시계열 회귀
특별 활동
LG AI연구원 8기
DL NLP & LLM Agent
LLM Application & Evaluation
Lightweight LLM
Compressing LLM
LG AI연구원 9기
Tabular ML
- 01_Intro to Tabular ML
- 02_Classical ML for Tabular Data
- 03_Deep Architectures for Tabular Data
- 04_Tabular Representation Learning
- 05_LLMs with Tabular Data
- 06_TabPFN
Supervised Learning
- 01_Supervised Learning Overview
- 02_Linear Regression
- 03_Gradient Descent
- 04_Classification
- 05_Logistic Regression
- 06_More on Supervised Learning and Beyond
Mathematics for ML
Decision-focused Learning
MLOps