machine_learning.tex

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\title{A Comprehensive Note on Machine Learning\footnote{This content serve only for \textbf{educational} and \textbf{personal} purpose, \textbf{do not share} without my approval.}}
\author{Jue Guo}
\date{\today}

\begin{document}
\frontmatter
\maketitle
\tableofcontents
\chapter*{Preface}

The primary purpose of this document is educational, specifically for the courses I teach (\textbf{CSE 474/574 Introduction to Machine Learning, CSE 455/555 Pattern Recognition, and CSE 676 Deep Learning}), as well as for my personal reference. A substantial portion of the material herein is directly referenced or adapted from established texts and sources, and is not claimed as original content. This document is intended as a supplementary teaching and learning resource and is not authorized for commercial use, redistribution, or sale without my explicit consent.

The majority of the material referenced comes from the following sources:

{
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\begin{enumerate}
	\item Zhang, Aston, et al. Dive into deep learning. Cambridge University Press, 2023.
	\item Bishop, C. M., \& Nasrabadi, N. M. (2006). Pattern recognition and machine learning (Vol. 4, No. 4, p. 738). New York: Springer.
	\item Hart, P. E., Stork, D. G., \& Duda, R. O. (2000). Pattern classification. Hoboken: Wiley.
	\item Burkov, A. (2019). The hundred-page machine learning book (Vol. 1, p. 32). Quebec City, QC, Canada: Andriy Burkov.
	\item Burkov, A. (2020). Machine learning engineering (Vol. 1). Montreal, QC, Canada: True Positive Incorporated. \footnote{This is a birthday present from my lab member and good friend Peiyao Xiao}
\end{enumerate}
}

All other referenced materials and sources are cited in the bibliography section of this document. This compilation is intended to provide a comprehensive overview and guide for students and practitioners of machine learning, drawing upon a wide range of foundational and contemporary sources in the field.

\mainmatter
\part{Basic Machine Learning}
\include{Basic_Machine_Learning/introduction}
\include{Basic_Machine_Learning/notation}
\include{Basic_Machine_Learning/fundamental_algo}

\part{Advance Machine Learning}
\part{Neural Networks}
\include{Neural_Networks/kowledge_distillation}
\part{Convolution Neural Networks}

\part{Adversarial Attacks and Training}
\include{Adversarial_Attack_and_Training/intriguing_properties_of_NN}

\part{Recurrent Neural Networks}

\part{Transformers}

\part{Artificial General Intelligence}
\include{Artificial_General_Intelligence/continual_learning}
\include{Artificial_General_Intelligence/ER_AML}

\backmatter
\bibliographystyle{plainnat}
\bibliography{references}

\end{document}