Add CS231n Deep Learning for Computer Vision to Machine Learning

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@ -163,6 +163,7 @@ Books that cover a specific programming language can be found in the [BY PROGRAM
* [Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp](https://github.com/norvig/paip-lisp) - Peter Norvig (Git repo)
* [Probabilistic Programming & Bayesian Methods for Hackers](https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/) - Cam Davidson-Pilon (HTML, Jupyter Notebook)
* [Stanford CS224N: Natural Language Processing with Deep Learning](https://www.youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ) - Christopher Manning (Stanford Online)
* [Stanford CS231n: Deep Learning for Computer Vision](https://cs231n.github.io/) - Stanford University
* [The History of Artificial Intelligence](https://courses.cs.washington.edu/courses/csep590/06au/projects/history-ai.pdf) - Chris Smith, Brian McGuire, Ting Huang, Gary Yang (PDF)
* [The Math Behind Artificial Intelligence: A Guide to AI Foundations](https://www.freecodecamp.org/news/the-math-behind-artificial-intelligence-book) - Tiago Monteiro (HTML)
* [The Quest for Artificial Intelligence: A History of Ideas and Achievements](https://ai.stanford.edu/~nilsson/QAI/qai.pdf) - Nils J. Nilsson (PDF)