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 juliasilge.com
Multinomial classification with tidymodels and #TidyTuesday volcano eruptions | Julia Silge
| | lukesingham.com
Binary Classification in Python - Who's Going to Leave Next?
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| | This post goes through a binary classification problem with Python's machine learning library scikit-learn.
| | sebastianraschka.com
Predictive modeling, supervised machine learning, and pattern classification
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| | I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs).
| | matbesancon.xyz
A Pythonic data science project: Part III |
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| | Learning by doing: predicting the outcome.
| | programmathically.com
Understanding The Exploding and Vanishing Gradients Problem - Programmathically
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| Sharing is caringTweetIn this post, we develop an understanding of why gradients can vanish or explode when training deep neural networks. Furthermore, we look at some strategies for avoiding exploding and vanishing gradients. The vanishing gradient problem describes a situation encountered in the training of neural networks where the gradients used to update the weights []