Artificial Intelligence An Overview
References
[01]  Artificial Intelligence, A Modern Approach, Third Edition, Stuart J. Russell and Peter Norvig, 2010.
[02]  Bayesian Artificial Intelligence, Second Edition, Kevin B. Korb and Ann E. Nicholson, Chapman & Hall/CRC, 2011.
[03]  Introduction to Artificial Neural Networks (ANN), Slide Show, Mohammed Shbier, 2014.
[04]  Using Python for Artificial Intelligence, Stanford University, CS 106A, Chris Gregg.
[05]  Looking Backwards-Looking Forwards SAS: Data Mining and Machine Learning
[06]  Wikipedia TSP - Travelling Salesman Problem
[07]  The ASIMOV Institute Neural Network Zoo
[08]  A Basic Introduction To Neural Networks, University of Winconsin, Madison
[09]  Oracle Machine Learning SQL, 21c, F31930-07, September 2022
[10]  Professor’s perceptron paved the way for AI – 60 years too soon, Cornell Chronicle, Melanie Lefkowitz, September 25, 2019.
[11]  KArlijn Willems, Keras Tutorial: Deep Learning in Python, Biological-Neuron-versus-Artificial-Neural
[12]  Logic Gates - Truth Table
[13]  The differences between Artificial and Biological Neural Networks - Richard Nagyfi
[14]  MIT News April 2023
[15]  NVDIA Blog: Why GPUs Are Great for AI, Rick Merrit, December 4, 2023
[16]  Principal Component Analysis Explained Visually, By Victor Powell, with text by Lewis Lehe
[17]  YouTube Videos: Lectures on PCA, SVD and other Algorithms By Steve Brunton, University of Washington
[18]  DOC493: Intelligent Data Analysis and Probabilistic Inference Lecture 15, Duncan Gillies & Marc Diesenroth, Imperial College, London
[19]  Making sense of PCA eigenvectors and eigenvalues - stats.stackexchange.com
[20]  Vaswani, Ashish; Shazeer, Noam; Parmar, Niki; Uszkoreit, Jakob; Jones, Llion; Gomez, Aidan N; Kaiser, Łukasz; Polosukhin, Illia, 2017, Attention Is All You Need
[21]  Weisstein, Eric W. " Convolution." From MathWorld--A Wolfram Web Resource.
[22]  Introduction to Artificial Neural Networks, Raphael Cóbe, Advanced Institute for Artificial Intelligence, 2023
[23]  Shervine Amidi, CS-230 Class Notes/Cheetsheet, Stanford University
[24]  Jay Alammar, 2018, The Illustrated Transformer [Blog Post]
[25]  Klaus Greff, Rupesh Kumar Srivastava, Jan Koutník, Bas R. Steunebrink, Jürgen Schmidhuber 2017, LSTM: A Search Space Odyssey
[26]  A Brief History of AI with Deep Learning, LM Po, September, 2024, Medium.com
[27]  Attention Is All You Need : A Complete Guide to Transformers, Alejandro Ito Aramendia, January 2024, Medium.com
[28]  High level architecture of MCP


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Revised Date: January 16th, 2025