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Added license notes to Machine Learning books #11659

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Added license notes to Machine Learning books #11659

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28efb75
add license notation for Embedded System book
dhirajchaurasiya Oct 8, 2024
a3d83cb
add license notation of The little Book of Semaphores
dhirajchaurasiya Oct 8, 2024
8557449
updated license notes excluding versions
dhirajchaurasiya Oct 8, 2024
c577401
Merge branch 'EbookFoundation:main' into main
dhirajchaurasiya Oct 23, 2024
6a2399c
add license notes of neural networks
dhirajchaurasiya Oct 23, 2024
53ddc78
add license of free and open ML
dhirajchaurasiya Oct 23, 2024
267ec88
add license of Interpretable ML
dhirajchaurasiya Oct 23, 2024
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6 changes: 3 additions & 3 deletions books/free-programming-books-subjects.md
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Expand Up @@ -403,7 +403,7 @@ Books that cover a specific programming language can be found in the [BY PROGRAM
### Machine Learning

* [A Brief Introduction to Machine Learning for Engineers](https://arxiv.org/pdf/1709.02840.pdf) - Osvaldo Simeone (PDF)
* [A Brief Introduction to Neural Networks](https://www.dkriesel.com/en/science/neural_networks)
* [A Brief Introduction to Neural Networks](https://www.dkriesel.com/en/science/neural_networks) (CC BY-ND)
* [A Comprehensive Guide to Machine Learning](https://www.eecs189.org/static/resources/comprehensive-guide.pdf) - Soroush Nasiriany, Garrett Thomas, William Wang, Alex Yang (PDF)
* [A Course in Machine Learning](http://ciml.info/dl/v0_9/ciml-v0_9-all.pdf) (PDF)
* [A First Encounter with Machine Learning](https://web.archive.org/web/20210420163002/https://www.ics.uci.edu/~welling/teaching/ICS273Afall11/IntroMLBook.pdf) - Max Welling (PDF) *(:card_file_box: archived)*
Expand All @@ -417,11 +417,11 @@ Books that cover a specific programming language can be found in the [BY PROGRAM
* [Dive into Deep Learning](https://d2l.ai)
* [Explorations in Parallel Distributed Processing: A Handbook of Models, Programs, and Exercises](https://web.stanford.edu/group/pdplab/pdphandbook) - James L. McClelland
* [Foundations of Machine Learning, Second Edition](https://mitpress.ublish.com/ebook/foundations-of-machine-learning--2-preview/7093/Cover) - Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar
* [Free and Open Machine Learning](https://nocomplexity.com/documents/fossml/) - Maikel Mardjan (HTML)
* [Free and Open Machine Learning](https://nocomplexity.com/documents/fossml/) - Maikel Mardjan (HTML) (CC BY-SA)
* [Gaussian Processes for Machine Learning](https://www.gaussianprocess.org/gpml/) - Carl Edward Rasmussen, Christopher K.I. Williams
* [IBM Machine Learning for Dummies](https://www.ibm.com/downloads/cas/GB8ZMQZ3) - Judith Hurwitz, Daniel Kirsch
* [Information Theory, Inference, and Learning Algorithms](http://www.inference.phy.cam.ac.uk/itila/) - David J.C. MacKay
* [Interpretable Machine Learning](https://christophm.github.io/interpretable-ml-book/) - Christoph Molnar
* [Interpretable Machine Learning](https://christophm.github.io/interpretable-ml-book/) (CC BY-NC-SA) - Christoph Molnar
* [Introduction to CNTK Succinctly](https://www.syncfusion.com/ebooks/cntk_succinctly) - James McCaffrey
* [Introduction to Machine Learning](https://arxiv.org/abs/0904.3664v1) - Amnon Shashua
* [Keras Succinctly](https://www.syncfusion.com/ebooks/keras-succinctly) - James McCaffrey
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