📚 Probabilistic Machine Learning: An Introductuion (2022) by Murphy

• ch.1 ~ ch.8 정리

📚 Deep Learning: Foundations and Concepts (2024) by Bishop

• ch.9 + (M)ch.13 : Regularization, NN
• ch.20 : Diffusion

• [GitHub] Anomaly_Detection_Techniques_Summary
• [GitHub] Anomaly_Detection_with_AutoEncoder
• [GitHub] Kaggle Course : “Time Series”
• [GitHub] Kaggle Competition : “Titanic - Machine Learning from Disaster”
• [GitHub] Kaggle Competition : “House Prices - Advanced Regression Techniques”
• [GitHub] Kaggle Competition : “Store Sales - Time Series Forecasting”

• Tractability ↔ Flexibility
• Bias-Variance Tradeoff
• Inductive Bias
• Rank & Dimension