Adding Machine Learning Simplified by Andrew Wolf (#9084)

After reading this book, you would understand everything that comes into the scope of Supervised ML, and would be able to not only understand nitty-gritty details of mathematics behind the scene, but also explain to anyone how things work on a high level.

books/free-programming-books-subjects.md

@@ -389,6 +389,7 @@ Books that cover a specific programming language can be found in the  [BY PROGRA
 * [Machine Learning for Data Streams](https://moa.cms.waikato.ac.nz/book-html/) - Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer
 * [Machine Learning from Scratch](https://dafriedman97.github.io/mlbook/) - Danny Friedman (HTML, PDF, Jupyter Book)
 * [Machine Learning, Neural and Statistical Classification](http://www1.maths.leeds.ac.uk/~charles/statlog/) - D. Michie, D.J. Spiegelhalter, C.C. Taylor
+* [Machine Learning Simplified](https://themlsbook.com/read) - Andrew Wolf
 * [Machine Learning with Python](https://www.tutorialspoint.com/machine_learning_with_python/) - Tutorials Point (HTML, [PDF](https://www.tutorialspoint.com/machine_learning_with_python/machine_learning_with_python_tutorial.pdf))
 * [Mathematics for Machine Learning](https://gwthomas.github.io/docs/math4ml.pdf) - Garrett Thomas (PDF)
 * [Mathematics for Machine Learning](https://mml-book.github.io) - Marc Peter Deisenroth, A Aldo Faisal, Cheng Soon Ong