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docs(free-programming-books-subjects): fixed broken links #5470 #6471

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merged 12 commits into from
Nov 11, 2021
20 changes: 9 additions & 11 deletions books/free-programming-books-subjects.md
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Expand Up @@ -112,7 +112,7 @@ Books that cover a specific programming language can be found in the [BY PROGRA
* [Open Data Structures: An Introduction](http://opendatastructures.org) - Pat Morin
* [Planning Algorithms](http://planning.cs.uiuc.edu)
* [Problems on Algorithms (Second Edition)](http://ianparberry.com/books/free/license.html) - Ian Parberry (use form at bottom of license)
* [Purely Functional Data Structures (1996)](http://www.cs.cmu.edu/~rwh/theses/okasaki.pdf) - Chris Okasaki (PDF)
* [Purely Functional Data Structures (1996)](https://web.archive.org/web/20210917054102/http://www.cs.cmu.edu/~rwh/theses/okasaki.pdf) - Chris Okasaki (PDF) *(:card_file_box: archived)*
* [Sequential and parallel sorting algorithms](http://www.inf.fh-flensburg.de/lang/algorithmen/sortieren/algoen.htm)
* [Text Algorithms](http://igm.univ-mlv.fr/~mac/REC/text-algorithms.pdf) (PDF)
* [The Algorithm Design Manual](http://www8.cs.umu.se/kurser/TDBAfl/VT06/algorithms/BOOK/BOOK/BOOK.HTM)
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* [Introduction to Data Science](https://docs.google.com/file/d/0B6iefdnF22XQeVZDSkxjZ0Z5VUE/edit?pli=1) - Jeffrey Stanton
* [Introduction to Data Science](https://leanpub.com/datasciencebook) - Rafael A Irizarry *(Leanpub account or valid email requested)*
* [Mining of Massive Datasets](http://infolab.stanford.edu/~ullman/mmds/book.pdf) - Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman (PDF)
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* [School of Data Handbook](http://schoolofdata.org/handbook/)
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* [Statistical inference for data science](https://leanpub.com/LittleInferenceBook/read) - Brian Caffo
* [The Ultimate Guide to 12 Dimensionality Reduction Techniques (with Python codes)](https://www.analyticsvidhya.com/blog/2018/08/dimensionality-reduction-techniques-python/) - Pulkit Sharma
* [Theory and Applications for Advanced Text Mining](http://www.intechopen.com/books/theory-and-applications-for-advanced-text-mining)
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* [A Brief Introduction to Neural Networks](http://www.dkriesel.com/en/science/neural_networks)
* [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://www.ics.uci.edu/~welling/teaching/ICS273Afall11/IntroMLBook.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)*
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* [A Selective Overview of Deep Learning](https://arxiv.org/abs/1904.05526) - Fan, Ma, and Zhong (PDF)
* [Algorithms for Reinforcement Learning](https://sites.ualberta.ca/~szepesva/papers/RLAlgsInMDPs.pdf) - Csaba Szepesvári (PDF)
* [An Introduction to Statistical Learning](https://web.stanford.edu/~hastie/ISLR2/ISLRv2_website.pdf) - Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (PDF)
Expand All @@ -320,7 +319,7 @@ Books that cover a specific programming language can be found in the [BY PROGRA
* [Dive into Deep Learning](http://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/ereader/7093/?preview=#page/Cover) - Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar
* [Free and Open Machine Learning](https://freeandopenmachinelearning.readthedocs.io/en/latest/index.html) - Maikel Mardjan
* [Free and Open Machine Learning](https://web.archive.org/web/20200608205220/https://freeandopenmachinelearning.readthedocs.io/en/latest/index.html) - Maikel Mardjan (HTML) *(:card_file_box: archived)*
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* [Gaussian Processes for Machine Learning](http://www.gaussianprocess.org/gpml/)
* [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/)
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* [Complex Analysis](https://people.math.gatech.edu/~cain/winter99/complex.html) - George Cain
* [Computational and Inferential Thinking. The Foundations of Data Science](https://www.inferentialthinking.com)
* [Computational Geometry](http://web.mit.edu/hyperbook/Patrikalakis-Maekawa-Cho/)
* [Computational Mathematics with SageMath](http://sagebook.gforge.inria.fr/english.html) - Paul Zimmermann et al.
* [Computational Mathematics with SageMath](https://web.archive.org/web/20210805190821/http://dl.lateralis.org/public/sagebook/sagebook-ba6596d.pdf) - Paul Zimmermann et al. (PDF) *(:card_file_box: archived)*
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* [Concepts & Applications of Inferential Statistics](http://vassarstats.net/textbook/)
* [Convex Optimization](https://web.stanford.edu/~boyd/cvxbook) - Stephen Boyd and Lieven Vandenberghe
* [Coordinate Geometry (1911)](http://djm.cc/library/Coordinate_Geometry_Fine_Thompson_edited03.pdf) - Henry Buchard Fine and Henry Dallas Thompson (PDF)
Expand Down Expand Up @@ -423,8 +422,8 @@ Books that cover a specific programming language can be found in the [BY PROGRA
* [Kalman and Bayesian Filters in Python](https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python)
* [Knapsack Problems - Algorithms and Computer Implementations](http://www.or.deis.unibo.it/knapsack.html) - Silvano Martello and Paolo Toth
* [Lecture Notes of Linear Algebra](http://home.iitk.ac.in/~psraj/mth102/lecture_notes.html) - Dr. P. Shunmugaraj, IIT Kanpur (PDF)
* [Lecture Notes on Linear Algebra](https://home.iitk.ac.in/~arlal/book/nptel/pdf/booklinear.html) - Dr. Arbind K Lal, Sukant Pati (HTML) (:construction: *in process*)
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* [Lies, Damned Lies, or Statistics: How to Tell the Truth with Statistics](https://www.poritz.net/jonathan/share/ldlos.pdf) - Jonathan A. Poritz (PDF)
* [Linear Algebra](http://home.iitk.ac.in/~arlal/book/la.pdf) - Dr. Arbind K Lal, Sukant Pati (PDF) (:construction: *in process*)
* [Linear Algebra](https://www.math.ucdavis.edu/~linear/linear-guest.pdf) (PDF)
* [Linear Algebra](http://joshua.smcvt.edu/linearalgebra/) - Jim Hefferon
* [Linear Algebra Done Wrong](https://www.math.brown.edu/streil/papers/LADW/LADW.html) - Sergei Treil
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* [Hacknot: Essays on Software Development](http://www.lulu.com/shop/ed-johnson/hacknot-essays-on-software-development/ebook/product-17544641.html) - Ed Johnson
* [Hello SDL](https://lazyfoo.net/tutorials/SDL) - Lazy Foo' Productions
* [High-Performance Scientific Computing](https://andreask.cs.illinois.edu/Teaching/HPCFall2012) (class lectures and slides)
* [Holm School (You Might Learn Something) - How to Teach Yourself To Be A Computer Scientist for Hamiltons a Month](https://ryheimat.github.io/holm-school) - Ryhen Holm
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* [HoloLens Succinctly](https://www.syncfusion.com/ebooks/hololens_succinctly) - Lars Klint
* [How Computers Work](http://www.fastchip.net/howcomputerswork/p1.html) - R. Young
* [How to Become a Programmer](http://softwarebyrob.wpengine.netdna-cdn.com/assets/Software_by_Rob%20_How_to_Become_a%20_Programmer_1.0.pdf) (PDF)
* [How To Manage Remote Servers with Ansible](https://www.digitalocean.com/community/books/how-to-manage-remote-servers-with-ansible-ebook) - Erika Heidi (PDF, EPUB)
* [How to Think Like a Computer Scientist](http://openbookproject.net/thinkcs/) - Peter Wentworth, Jeffrey Elkner, Allen B. Downey, and Chris Meyers
* [Image Processing in C: Analyzing and Enhancing Digital Images](http://homepages.inf.ed.ac.uk/rbf/BOOKS/PHILLIPS/) - Dwayne Phillips
* [Information Technology and the Networked Economy](http://florida.theorangegrove.org/og/file/49843a6a-9a9d-4bad-b4d4-d053f9cdf73e/1/InfoTechNetworkedEconomy.pdf) (PDF)
* [Information Technology and the Networked Economy](https://web.archive.org/web/20200731035935/https://florida.theorangegrove.org/og/file/49843a6a-9a9d-4bad-b4d4-d053f9cdf73e/1/InfoTechNetworkedEconomy.pdf) - Patrick McKeown (PDF) *(:card_file_box: archived)*
* [Introduction to Scientific Programming in C++ and Fortran](https://web.corral.tacc.utexas.edu/CompEdu/pdf/isp/EijkhoutIntroSciProgramming-book.pdf) - Victor Eijkhout (PDF)
* [IRPF90 Fortran code generator](https://www.gitbook.com/book/scemama/irpf90/details) - Anthony Scemama
* [Learn Programming](https://progbook.org) - Antti Salonen
Expand All @@ -538,7 +536,7 @@ Books that cover a specific programming language can be found in the [BY PROGRA
* [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
* [Signal Computing: Digital Signals in the Software Domain](http://faculty.washington.edu/stiber/pubs/Signal-Computing/Signal%20Computing.pdf) - Michael Stiber, Bilin Zhang Stiber, Eric C. Larson (PDF)
* [Small Memory Software](http://www.smallmemory.com/book.html)
* [Small Memory Software](https://web.archive.org/web/20210725045910/http://www.smallmemory.com/book.html) - Charles Weir, James Noble (HTML) *(:card_file_box: archived)*
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* [Web Almanac](https://almanac.httparchive.org/static/pdfs/web_almanac_2019_en.pdf) (PDF)
* [Writing Native Mobile Apps in a Functional Language Succinctly](https://www.syncfusion.com/ebooks/writing_native_mobile_apps_in_a_functional_language_succinctly) - Vassili Kaplan

Expand Down Expand Up @@ -711,8 +709,8 @@ Kerridge (PDF) (email address *requested*, not required)
* [How to Write Unmaintainable Code](http://mindprod.com/jgloss/unmain.html)
* [Kanban and Scrum - making the most of both](http://www.infoq.com/minibooks/kanban-scrum-minibook)
* [Kanban for skeptics](https://leanpub.com/kanbanforskeptics) - Nick Oostvogels *(Leanpub account or valid email requested)*
* [Microservices AntiPatterns and Pitfalls](https://www.oreilly.com/programming/free/files/microservices-antipatterns-and-pitfalls.pdf) (PDF)
* [Microservices vs. Service-Oriented Architecture](https://www.oreilly.com/programming/free/files/microservices-vs-service-oriented-architecture.pdf) (PDF)
* [Microservices AntiPatterns and Pitfalls](https://www.oreilly.com/content/microservices-antipatterns-and-pitfalls/) - Mark Richards (HTML)
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* [Microservices vs. Service-Oriented Architecture](https://web.archive.org/web/20201112010849/https://www.oreilly.com/programming/free/files/microservices-vs-service-oriented-architecture.pdf) - Mark Richards (PDF) *(:card_file_box: archived)*
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* [Migrating to Cloud-Native Application Architectures](https://developers.redhat.com/books/migrating-microservice-databases-relational-monolith-distributed-data/) (email address *requested*) (PDF)
* [Naked objects](http://downloads.nakedobjects.net/resources/Pawson%20thesis.pdf) - Richard Pawson (PDF)
* [OAuth - The Big Picture](https://pages.apigee.com/oauth-big-picture-ebook.html) (email address *requested*)
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