diff --git a/free-programming-books.md b/free-programming-books.md
index a10dc0c44..6ce721ca0 100644
--- a/free-programming-books.md
+++ b/free-programming-books.md
@@ -463,10 +463,12 @@
 * [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)
+* [Algorithms for Reinforcement Learning](https://sites.ualberta.ca/~szepesva/papers/RLAlgsInMDPs.pdf) - Csaba Szepesvári (PDF)
 * [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
 * [Deep Learning with PyTorch](https://pytorch.org/assets/deep-learning/Deep-Learning-with-PyTorch.pdf) - Eli Stevens, Luca Antiga, Thomas Viehmann (PDF)
+* [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
 * [Gaussian Processes for Machine Learning](http://www.gaussianprocess.org/gpml/)
 * [Information Theory, Inference, and Learning Algorithms](http://www.inference.phy.cam.ac.uk/itila/)
@@ -487,6 +489,7 @@
 * [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/) - Trevor Hastie, Robert Tibshirani, and Jerome Friedman
 * [The LION Way: Machine Learning plus Intelligent Optimization](https://intelligent-optimization.org/LIONbook/lionbook_3v0.pdf) - Roberto Battiti, Mauro Brunato (PDF)
 * [The Python Game Book](http://thepythongamebook.com/en%3Astart)
+* [Understanding Machine Learning: From Theory to Algorithms](https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning) - Shai Shalev-Shwartz, Shai Ben-David
 
 
 #### Mathematics
@@ -587,6 +590,7 @@
 * [DevOps For Dummies (IBM Edition)](http://www.ibm.com/ibm/devops/us/en/resources/dummiesbooks/) (PDF)
 * [Digital Signal Processing For Communications](http://www.sp4comm.org)
 * [Digital Signal Processing For Engineers and Scientists](http://www.dspguide.com)
+* [Digital Signal Processing in Python](https://greenteapress.com/wp/think-dsp) - Allen B. Downey
 * ["DYNAMIC LINKED LIBRARIES": Paradigms of the GPL license in contemporary software](http://www.lulu.com/shop/http://www.lulu.com/shop/luis-enr%C3%ADquez-a/dynamic-linked-libraries-paradigms-of-the-gpl-license-in-contemporary-software/ebook/product-21419788.html) - Luis A. Enríquez
 * [Effective DevOps with AWS, Second Edition](https://www.packtpub.com/free-ebooks/effective-devops-aws-second-edition) - Yogesh Raheja, Giuseppe Borgese, Nathaniel Felsen (Packt account *required*)
 * [Essential Image Optimization](https://images.guide) - Addy Osmani
@@ -1449,6 +1453,7 @@ Kerridge (PDF) (email address *requested*, not required)
 * [Learn CSS Layout the pedantic way](http://book.mixu.net/css/)
 * [Learn to Code HTML & CSS](https://learn.shayhowe.com) - Shay Howe
 * [MaintainableCSS](http://maintainablecss.com)
+* [Pocket Guide to Writing SVG](https://svgpocketguide.com) - Joni Trythall
 * [Pro HTML5 Programming](https://web.archive.org/web/20181215200026/http://apress.jensimmons.com/v5/pro-html5-programming/ch0.html) - Jen Simmons, Chris O'Connor, Dylan Wooters, Peter Lubbers
 * [Scalable and Modular Architecture for CSS](https://web.archive.org/web/20191116073929/http://smacss.com/) - Jonathan Snook
 * [Understanding Flexbox: Everything you need to know](https://ohansemmanuel.github.io/uf_download.html) - Ohans Emmanuel