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How to implement a decision tree
Beating neural networks one if-else condition at a time, part 2
Nov 8
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Tivadar Danka
15
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How to implement a decision tree
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October 2024
How to grow a decision tree
Beating neural networks one if-else condition at a time
Oct 26
•
Tivadar Danka
31
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How to grow a decision tree
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Machine Learning From Zero is ready to go!
The open source neural-networks-from-scratch book you were all waiting for
Oct 13
•
Tivadar Danka
53
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Machine Learning From Zero is ready to go!
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July 2024
Machine Learning From Zero
An educational machine learning library
Jul 17
•
Tivadar Danka
43
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Machine Learning From Zero
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May 2024
Epsilons, no. 7: What is a kernel?
Unraveling the most overloaded term in mathematics
May 31
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Tivadar Danka
26
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Epsilons, no. 7: What is a kernel?
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Introduction to computational graphs
Laying the groundwork of our custom neural network framework
May 23
•
Tivadar Danka
43
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Introduction to computational graphs
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Vectorization in practice
Making data structures do less, faster
May 14
•
Tivadar Danka
36
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Vectorization in practice
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Understanding k-Nearest Neighbors
Show me your neighbors, I’ll tell you who you are
May 9
•
Tivadar Danka
and
Levi
35
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Understanding k-Nearest Neighbors
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A reflection on The Palindrome's journey upon passing 15k subscribers
work it harder, make it better//do it faster, makes us stronger
May 6
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Tivadar Danka
31
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A reflection on The Palindrome's journey upon passing 15k subscribers
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Vectorization in theory
Making expressions do more, faster
May 1
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Tivadar Danka
45
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Vectorization in theory
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April 2024
Graphs and their drawings
Where graph theory and geometry meet, beauty and challenge arise
Apr 22
•
Tivadar Danka
and
Alejandro Piad Morffis
17
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Graphs and their drawings
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Linear Regression and The Exploding Gradients
Even simple models can produce huge problems
Apr 17
•
Tivadar Danka
4
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Linear Regression and The Exploding Gradients
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