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Mathematics of Machine Learning.pdf
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πŸ“š Mathematics of Machine Learning
πŸ‘¨πŸ»β€πŸ« Philipp Christian Petersen

πŸ“ Table of Contents:
● Language of Machine Learning
● ML Mathematical Framework
● Rademacher Complexities
● Rademacher Complexities Applications
●The Mysterious Machine
● Lower Bounds on Learning
● Model Selection
● Regression and Regularization
● Freezing Fritz
● Support Vector Machines
● Kernel Methods
● Nearest Neighbour
● Neural Networks
● Boosting
● Clustering
● Dimensionality Reduction

@Machine_learn
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πŸ“š Mathematics of Machine Learning
πŸ‘¨πŸ»β€πŸ« Philipp Christian Petersen

πŸ“ Table of Contents:
● Language of Machine Learning
● ML Mathematical Framework
● Rademacher Complexities
● Rademacher Complexities Applications
●The Mysterious Machine
● Lower Bounds on Learning
● Model Selection
● Regression and Regularization
● Freezing Fritz
● Support Vector Machines
● Kernel Methods
● Nearest Neighbour
● Neural Networks
● Boosting
● Clustering
● Dimensionality Reduction

@Machine_learn

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