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Min-Max Math
Epsilons
Machine Learning Math
Math of ML book
Alejandro's Lectures
Graphs and their drawings
Where graph theory and geometry meet, beauty and challenge arise
 • 
Tivadar Danka
 and 
Alejandro Piad Morffis
1
Linear Regression and The Exploding Gradients
Even simple models can produce huge problems
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Tivadar Danka
Min-Max Math, ep. 07: Sets, relations, and functions
Dots and arrows rule the world of mathematics
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Tivadar Danka
1

March 2024

Linear regression in multiple variables
(finally) entering higher dimensions
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Tivadar Danka

February 2024

The mathematics of optimization for deep learning
A brief guide to minimize a function with millions of variables
 • 
Tivadar Danka

January 2024

Building an interface for machine learning
Laying the foundations of our handmade machine learning library
 • 
Tivadar Danka
5
Logistic regression
(is a classification algorithm)
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Tivadar Danka
The Computer Scientist's Guide to Graph Theory, ep. 03
Eulerian and Hamiltonian tours
 • 
Tivadar Danka
 and 
Alejandro Piad Morffis
The Maximum Likelihood Estimation
(is the foundation of machine learning)
 • 
Tivadar Danka

December 2023

Where does the mean squared error come from?
Understanding the most important loss function from a statistical perspective
 • 
Tivadar Danka
3
The Computer Scientist's Guide to Graph Theory, ep. 02
An introduction to matchings
 • 
Tivadar Danka
 and 
Alejandro Piad Morffis
Linear regression and the least squares problem
Optimizing linear regression by hand
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Tivadar Danka
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