An Anthology of Artificial Intelligence

Last updated: May 10, 2026

AI Related Pages

These are pages I have created to cover various topics of interest. Due to the nature of the subject these require daily update but I can't update all these pages everyday. So you may find examples on the following webpages which no longer work!

• Fun with Python Programming, https://sites.google.com/view/funwithpythonwithali 

• Machine Learning for Non-Computer Science Majors, https://sites.google.com/view/aiandml4all/home 

• Generative AI Short Course, https://sites.google.com/view/generativeali/short-course 

• Finetuning LLMS + RAGs (including Prompting), https://sites.google.com/view/finetunellm/short-course 

• Generative AI Full Course, https://sites.google.com/view/generative-ai-full-course/ 

• Physics-Inspired Machine Learning, https://sites.google.com/view/physicsinformedml/home 

• Build a Reasoning Model (From Scratch) [page/course in the making], https://sites.google.com/view/build-a-reasoning-model/home  

My Graduate Level Courses

• DATA 602 - Introduction to Data Analysis and Machine Learning, https://sites.google.com/view/data-602/home 

• DATA 603 - Platforms for Big Data Processing (Not exactly AI but related), https://sites.google.com/view/platforms-for-big-data-process/home 

• DATA 623 - Hands-on Generative AI (Graduate level course) https://sites.google.com/view/handsongenerativeai/ 

• DATA 690 - Agentic AI [page/course in the making], https://sites.google.com/view/agentic-ai/short-course 

Personal Webpages

• Laboratory for Healthcare Engineering at UMBC, https://userpages.cs.umbc.edu/maliyou1/ 

• Laboratory for Healthcare Engineering (a bit old page), https://sites.google.com/view/mlandaiinhealthcare/ 

• My Github Webpage, https://maliyusuf.github.io/aliumbc/ 

• JHU Page, https://pages.jh.edu/maliyou1/index.htm 

• AI in Films, https://events.jhu.edu/archive/odysseyyousafsummer23 

• AI and the Movies: Exploring the Ethical Implications of Artificial Intelligence, https://events.jhu.edu/archive/odysseyyousuffall23 

• Physics of Sports course explores spin, fluid mechanics, and the Fosbury Flop, https://hub.jhu.edu/2018/01/25/sports-physics-intersession/ 

• Google Scholar, https://scholar.google.com/citations?hl=en&user=s76TVpQAAAAJ&view_op=list_works&sortby=pubdate 

• Reinforcement Learning, https://sites.google.com/view/data690reinforcementlearning/home 

Collection of Books

• My Data Science Library, https://sites.google.com/view/data-science-library/ 

Books with Github pages

These are NOT my books but are books that I have used to teach. Each comes with its free code via Github.

• Sebastian Raschka, “Machine Learning with PyTorch and Scikit-Learn", Packt Publishing Ltd. (February 25, 2022). The corresponding GitHub page is https://github.com/rasbt/machine-learning-book 

• Sebastian Raschka, “Build a Large Language Model (From Scratch)”, Manning Publications 2024. The corresponding GitHub page (with information to buy the book) can be found here: https://github.com/rasbt/LLMs-from-scratch/tree/main. 

• David Foster, “Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play”. 2nd Edition. O'Reilly Media, Incorporated 2023. The corresponding GitHub page (with information to buy the book) can be found here: https://github.com/davidADSP/Generative_Deep_Learning_2nd_Edition.   

• Jay Alammar, Maarten Grootendorst, "Hands-On Large Language Models: Language Understanding and Generation", O'Reilly Media; 1st edition (October 15, 2024). The corresponding Github page is https://github.com/HandsOnLLM/Hands-On-Large-Language-Models