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Machine Learning for Structured Data Lecture 01
MLSD 01. Welcome & Intro
From Vlad Niculae
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Machine Learning for Structured Data
MLSD 02.1: ML Recap: Linear
From Vlad Niculae
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Machine Learning for Structured Data
MLSD 02.2: ML Recap: Deep
From Vlad Niculae
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Machine Learning for Structured Data
MLSD 02.3: ML Recap: Tuning
From Vlad Niculae
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Machine Learning for Structured Data
MLSD 02.4: ML Recap: Baselines
From Vlad Niculae
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Machine Learning for Structured Data
MLSD 03.1: Features: Sequences
From Vlad Niculae
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Machine Learning for Structured Data
MLSD 03.2: Features: Graphs
From Vlad Niculae
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Machine Learning for Structured Data
MLSD 03.3: Features: Images
From Vlad Niculae
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Machine Learning for Structured Data
MLSD 04.1 - 04.2: Convolutions: 1d
From Vlad Niculae
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Machine Learning for Structured Data
MLSD 04.3: Convolutions: Discrete Data
From Vlad Niculae
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Machine Learning for Structured Data
MLSD 04.4: Convolutions: 2d
From Vlad Niculae
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Machine Learning for Structured Data
MLSD 05.1: Recurrent Neural Networks
From Vlad Niculae
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Machine Learning for Structured Data
MLSD 05.2: Graph Neural Networks
From Vlad Niculae
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Machine Learning for Structured Data
MLSD 06.1: Attention: Pooling
From Vlad Niculae
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Machine Learning for Structured Data
MLSD 06.2: Attention: Hierarchical
From Vlad Niculae
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