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Machine Learning Math

Machine Learning From Zero
An educational machine learning library
 • 
Tivadar Danka
Introduction to computational graphs
Laying the groundwork of our custom neural network framework
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Tivadar Danka
Vectorization in practice
Making data structures do less, faster
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Tivadar Danka
2
Understanding k-Nearest Neighbors
Show me your neighbors, I’ll tell you who you are
 • 
Tivadar Danka
 and 
Levi
Vectorization in theory
Making expressions do more, faster
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Tivadar Danka
Linear Regression and The Exploding Gradients
Even simple models can produce huge problems
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Tivadar Danka
Linear regression in multiple variables
(finally) entering higher dimensions
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Tivadar Danka
The mathematics of optimization for deep learning
A brief guide to minimize a function with millions of variables
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Tivadar Danka
Building an interface for machine learning
Laying the foundations of our handmade machine learning library
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Tivadar Danka
5
Logistic regression
(is a classification algorithm)
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Tivadar Danka
The Maximum Likelihood Estimation
(is the foundation of machine learning)
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Tivadar Danka
Where does the mean squared error come from?
Understanding the most important loss function from a statistical perspective
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Tivadar Danka
3
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