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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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How to grow a decision tree
Beating neural networks one if-else condition at a time
Oct 26
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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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Machine Learning From Zero
An educational machine learning library
Jul 17
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Tivadar Danka
43
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Machine Learning From Zero
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Introduction to computational graphs
Laying the groundwork of our custom neural network framework
May 23
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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
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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
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Tivadar Danka
and
Levi
35
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Understanding k-Nearest Neighbors
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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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Linear Regression and The Exploding Gradients
Even simple models can produce huge problems
Apr 17
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Tivadar Danka
4
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Linear Regression and The Exploding Gradients
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Linear regression in multiple variables
(finally) entering higher dimensions
Mar 5
•
Tivadar Danka
7
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Linear regression in multiple variables
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The mathematics of optimization for deep learning
A brief guide to minimize a function with millions of variables
Feb 12
•
Tivadar Danka
24
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The mathematics of optimization for deep learning
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Building an interface for machine learning
Laying the foundations of our handmade machine learning library
Jan 22
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Tivadar Danka
20
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Building an interface for machine learning
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