Merge 267ec88e4d into 9bd33204fa

* Added Evidence Based Software Engineering Book

* Update books/free-programming-books-subjects.md

Co-authored-by: Eric Hellman <eric@hellman.net>

---------

Co-authored-by: Eric Hellman <eric@hellman.net>

books/free-programming-books-subjects.md

@@ -405,7 +405,7 @@ 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)*
@@ -420,11 +420,11 @@ 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
@@ -897,6 +897,7 @@ Kerridge (PDF) (email address *requested*, not required)
 * [Domain Driven Design Quickly](https://www.infoq.com/minibooks/domain-driven-design-quickly)
 * [Domain-Driven Design Reference](https://www.domainlanguage.com/ddd/reference) - Eric Evans (CC BY)
 * [DSL Engineering: Designing, Implementing and Using Domain-Specific Languages](http://dslbook.org) - Markus Voelter
+* [Evidence-based Software Engineering](http://knosof.co.uk/ESEUR) - Derek M. Jones (PDF) (CC BY-SA) 
 * [Exploring CQRS and Event Sourcing](https://docs.microsoft.com/en-us/previous-versions/msp-n-p/jj554200(v=pandp.10)) - Dominic Betts, Julián Domínguez, Grigori Melnik, Mani Subramanian, Fernando Simonazzi ([EPUB, PDF](https://www.microsoft.com/en-us/download/details.aspx?id=34774) - [code samples](https://go.microsoft.com/fwlink/p/?linkid=258571))
 * [Guide to the Software Engineering Body of Knowledge](https://www.computer.org/education/bodies-of-knowledge/software-engineering/v3) (email address *requested*)
 * [How to Design Programs](https://www.htdp.org)