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New MIT Open Access books (#3514)

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* New MIT Open Access books

* Alphabetic fix
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#### Cloud Computing
* [Azure Functions Succinctly, Syncfusion](https://www.syncfusion.com/ebooks/azure-functions-succinctly) (PDF, Kindle) (email address requested, not required)
* [Cloud Computing for Science and Engineering](https://cloud4scieng.org/chapters/) - Ian Foster, Dennis B. Gannon (:construction: *in process*)
* [Cloud Design Patterns](https://www.microsoft.com/en-us/download/details.aspx?id=42026)
* [Designing Distributed Systems](https://azure.microsoft.com/en-us/resources/designing-distributed-systems/) *(account required)*
* [Hands-On Cloud Administration in Azure](https://www.packtpub.com/free-ebooks/hands-cloud-administration-azure) - Mustafa Toroman (Packt account *required*)
@ -448,6 +449,7 @@
* [An Introduction to Statistical Learning](http://www-bcf.usc.edu/~gareth/ISL/) - Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
* [Bayesian Reasoning and Machine Learning](http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage)
* [Deep Learning](http://www.deeplearningbook.org) - Ian Goodfellow, Yoshua Bengio and Aaron Courville
* [Foundations of Machine Learning, Second Edition](https://mitpress.ublish.com/ereader/7093/?preview=#page/Cover) - Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar
* [Gaussian Processes for Machine Learning](http://www.gaussianprocess.org/gpml/)
* [Information Theory, Inference, and Learning Algorithms](http://www.inference.phy.cam.ac.uk/itila/)
* [Interpretable Machine Learning](https://christophm.github.io/interpretable-ml-book/) - Christoph Molnar
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* [Learn Tensorflow](https://bitbucket.org/hrojas/learn-tensorflow) - Jupyter Notebooks
* [Learning Deep Architectures for AI](https://mila.quebec/wp-content/uploads/2019/08/TR1312.pdf) (PDF)
* [Machine Learning](http://www.intechopen.com/books/machine_learning)
* [Machine Learning for Data Streams](https://moa.cms.waikato.ac.nz/book-html/) - Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer
* [Machine Learning, Neural and Statistical Classification](http://www1.maths.leeds.ac.uk/~charles/statlog/)
* [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com)
* [Probabilistic Models in the Study of Language](http://idiom.ucsd.edu/~rlevy/pmsl_textbook/text.html) (Draft, with R code)
@ -528,6 +531,7 @@
* [Barcode Overview](http://www.tec-it.com/download/PDF/Barcode_Reference_EN.pdf) (PDF)
* [Bitcoin and Cryptocurrency Technologies](https://d28rh4a8wq0iu5.cloudfront.net/bitcointech/readings/princeton_bitcoin_book.pdf) - Arvind Narayanan, Joseph Bonneau, Edward Felten, Andrew Miller, Steven Goldfeder (PDF)
* [Blockchain By Example](https://www.packtpub.com/free-ebooks/blockchain-example) - Bellaj Badr, Richard Horrocks, Xun (Brian) Wu (Packt account *required*)
* [Category Theory for the Sciences](https://mitpress.ublish.com/ereader/77/?preview#page/Cover) - David I. Spivak
* [Come, Let's Play: Scenario-Based Programming Using Live Sequence Charts](http://www.wisdom.weizmann.ac.il/~playbook/)
* [Communicating Sequential Processes](http://www.usingcsp.com/cspbook.pdf) - Tony Hoare (PDF)
* [Computer Musings](http://scpd.stanford.edu/knuth/index.jsp) (lectures by Donald Knuth)
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* [Programming with Unicode](http://unicodebook.readthedocs.org)
* [Real-World Maintainable Software](http://www.oreilly.com/programming/free/real-world-maintainable-software.csp) (email address *requested*, not required)
* [Record-Playback Test Automation: Sahi & Selenium IDE: Critical Evaluation of Record-Playback Automation Tools](https://leanpub.com/manualToAutomatedWithSeleniumIDEAndSahi) - Shashikant Jagtap *(Leanpub account or valid email requested)*
* [Scientific Programming and Computer Architecture](https://divakarvi.github.io/bk-spca/spca.html) - Divakar Viswanath
* [Security Engineering](http://www.cl.cam.ac.uk/~rja14/book.html)
* [Small Memory Software](http://www.smallmemory.com/book.html)
* [The Quest for Artificial Intelligence: A History of Ideas and Achievements](http://ai.stanford.edu/~nilsson/QAI/qai.pdf) - Nils J. Nilsson (PDF)
@ -1194,6 +1199,7 @@ Kerridge (PDF) (email address *requested*, not required)
* [Control and Embedded Systems](http://www.learn-c.com) (HTML)
* [Discovering the STM32 Microcontroller](http://www.cs.indiana.edu/~geobrown/book.pdf) (PDF)
* [Introduction to Embedded Systems, Second Edition](https://ptolemy.berkeley.edu/books/leeseshia/releases/LeeSeshia_DigitalV2_2.pdf) - Edward Ashford Lee, Sanjit Arunkumar Seshia (PDF)
* [Introduction to Microcontrollers](http://www.embeddedrelated.com/showarticle/453.php) (HTML)