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Added new book: Neural Network Design (2nd Edition) (#9862)

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@ -403,6 +403,7 @@ Books that cover a specific programming language can be found in the [BY PROGRAM
* [Machine Learning with Python](https://www.tutorialspoint.com/machine_learning_with_python/) - Tutorials Point (HTML, [PDF](https://www.tutorialspoint.com/machine_learning_with_python/machine_learning_with_python_tutorial.pdf)) * [Machine Learning with Python](https://www.tutorialspoint.com/machine_learning_with_python/) - Tutorials Point (HTML, [PDF](https://www.tutorialspoint.com/machine_learning_with_python/machine_learning_with_python_tutorial.pdf))
* [Mathematics for Machine Learning](https://gwthomas.github.io/docs/math4ml.pdf) - Garrett Thomas (PDF) * [Mathematics for Machine Learning](https://gwthomas.github.io/docs/math4ml.pdf) - Garrett Thomas (PDF)
* [Mathematics for Machine Learning](https://mml-book.github.io) - Marc Peter Deisenroth, A Aldo Faisal, Cheng Soon Ong * [Mathematics for Machine Learning](https://mml-book.github.io) - Marc Peter Deisenroth, A Aldo Faisal, Cheng Soon Ong
* [Neural Network Design (2nd Edition)](https://hagan.okstate.edu/NNDesign.pdf) - Martin T. Hagan, Howard B. Demuth, Mark H. Beale, Orlando De Jesús (PDF)
* [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com) * [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com)
* [Practitioners guide to MLOps](https://services.google.com/fh/files/misc/practitioners_guide_to_mlops_whitepaper.pdf) - Khalid Samala, Jarek Kazmierczak, Donna Schut (PDF) * [Practitioners guide to MLOps](https://services.google.com/fh/files/misc/practitioners_guide_to_mlops_whitepaper.pdf) - Khalid Samala, Jarek Kazmierczak, Donna Schut (PDF)
* [Probabilistic Machine Learning - An Introduction](https://github.com/probml/pml-book/releases/latest/download/book1.pdf) - Kevin P. Murphy (PDF) * [Probabilistic Machine Learning - An Introduction](https://github.com/probml/pml-book/releases/latest/download/book1.pdf) - Kevin P. Murphy (PDF)

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