[ML 스터디] Chapter1. Model Training & Cost Function - 2

Main Reference:
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Aurelien Geron
- MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning

🚌 Model Training & Cost Function

[ML 스터디] Model Training & Cost Function - 1 편

• Least Square
• Pseudo-inverse (SVD)
• Gradient Descent & Convexity
• Newton method vs Gradient Descent
• Regression
• Regulization - Ridge, Lasso

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• Stochastic Gradient Descent vs Batch Gradient Descent
• Classification
• Logistic & Softmax Function
• Cross-Entropy

🚌 Lecture Note

Stochastic Gradient Descent vs Batch Gradient Descent

Classification - Logistic & Cross-Entropy

Classification - Softmax & Cross-Entropy

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