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* Fix obsolete Microsoft edX courses Solves part of EbookFoundation/free-programming-books#5112 * Fix with stable alternative for "Hg Init" guide Solves part of EbookFoundation/free-programming-books#5112 @hginit https://github.com/hginit/hginit.github.io Co-authored-by: hginit <hginit@captnemo.in> Co-authored-by: captn3m0 <github.contact@captnemo.in> * Use wayback machine to recover FindLectures.com Solves part of EbookFoundation/free-programming-books#5112 Only works first page of mirror Co-authored-by: hginit <hginit@captnemo.in> Co-authored-by: captn3m0 <github.contact@captnemo.in>
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* [C++ Tutorial for Beginners - Full Course](https://www.youtube.com/watch?v=vLnPwxZdW4Y) - Mike Dane - (freeCodeCamp)
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* [Google's C++ Course](https://developers.google.com/edu/c++/)
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* [Introduction to C++](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-096-introduction-to-c-january-iap-2011/) (MIT's opencourseware)
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* Microsoft edX Courses:
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* [Advanced C++](https://www.edx.org/course/advanced-c-plus-plus-1)
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* [Intermediate C++](https://www.edx.org/course/intermediate-c-plus-plus-1)
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* [Introduction to C++](https://www.edx.org/course/introduction-c-plus-plus-1)
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* [Introduction to C++](https://www.edx.org/course/introduction-to-c-3) - Microsoft (edX) (:card_file_box: *archived*)
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### Clojure
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* [Data Visualization by Alexis Cook at Kaggle](https://www.kaggle.com/learn/data-visualization)
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* [Datavis 2020](https://www.youtube.com/playlist?list=PL9yYRbwpkykuK6LSMLH3bAaPpXaDUXcLV) - Curran Kelleher
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* [Introduction to Data Science in Python](https://www.coursera.org/learn/python-data-analysis) - Christopher Brooks (Coursera)
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* [Introduction to Python for Data Science](https://www.edx.org/course/introduction-python-data-science-microsoft-dat208x-3)
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* [More Data Mining with Weka MOOC](https://www.cs.waikato.ac.nz/ml/weka/mooc/moredataminingwithweka/)
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* [The Analytics Edge](https://www.edx.org/course/analytics-edge-mitx-15-071x-3)
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* [Machine Learning Tutorial Python \| Machine Learning For Beginners](https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw) - Dhaval Patel
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* [Machine Learning with Python by Saeed Aghabozorgi](https://cognitiveclass.ai/courses/machine-learning-with-python) (cognitiveclass.ai)
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* [Pattern Recognition and Machine Learning](https://www.microsoft.com/en-us/research/people/cmbishop/#!prml-book)
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* [Principles of Machine Learning By Microsoft](https://www.edx.org/course/principles-machine-learning-microsoft-dat203-2x-6)
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* [PyTorch tutorials by PyTorch.org](https://pytorch.org/tutorials)
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* [Stanford University Machine Learning](https://www.coursera.org/learn/machine-learning)
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### Mercurial
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* [Hg Init: a Mercurial Tutorial](http://hginit.com) - Joel Spolsky
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* [Hg Init: a Mercurial Tutorial](https://hginit.github.io) - Joel Spolsky
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### Misc
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* [Computer Graphics](http://nptel.ac.in/courses/106106090/)
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* [Elements of AI](https://www.elementsofai.com)
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* [Embedded Software Safety](https://www.youtube.com/playlist?list=PLAQopGWlIcyaqDBW1zSKx7lHfVcOmWSWt) (P. Koopman)
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* [FindLectures.com](https://www.findlectures.com/?class1=Technology) - Index of conference talks by language / topic
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* [FindLectures.com](https://web.archive.org/web/20161219180842/https://www.findlectures.com/?class1=Technology) - Index of conference talks by language / topic (:card_file_box: *archived*)
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* [Introduction to Reinforcement Learning with David Silver](https://deepmind.com/learning-resources/-introduction-reinforcement-learning-david-silver) - David Silver
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* [LouvainX Paradigms of Computer Programming – Abstraction and Concurrency](https://www.edx.org/course/paradigms-computer-programming-louvainx-louv1-2x-1#!)
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* [LouvainX Paradigms of Computer Programming – Fundamentals](https://www.edx.org/course/paradigms-computer-programming-louvainx-louv1-1x-1)
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