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| | matthewmcateer.me
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| | Important mathematical prerequisites for getting into Machine Learning, Deep Learning, or any of the other space
| | bdtechtalks.com
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| | Gradient descent is the main technique for training machine learning and deep learning models. Read all about it.
| | blog.ml.cmu.edu
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| | The latest news and publications regarding machine learning, artificial intelligence or related, brought to you by the Machine Learning Blog, a spinoff of the Machine Learning Department at Carnegie Mellon University.
| | blog.vstelt.dev
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| [AI summary] The article explains the process of building a neural network from scratch in Rust, covering forward and backward propagation, matrix operations, and code implementation.