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\documentclass[10pt,oneside]{book}
\input{macros}
\title{Lecture Notes -- MIT 6.390 Fall 2024}
\date{\copyright\ 2024 MIT. All Rights Reserved}
\begin{document}
\maketitle
\tableofcontents
\clearpage
\include{intro}
\include{regression}
\include{gradient_descent}
\include{classification}
\include{feature_representation}
\include{neural_networks}
\include{clustering}
\include{convolutional_neural_networks}
\include{transformers}
\include{autoencoders}
\include{mdp}
\include{reinforcement_learning}
\include{non_parametric}
\begin{appendices}
\include{matrix_derivative}
\include{neural_network_appendix}
%\include{einstein}
\include{rnn}
\include{nutshell}
\printindex
\clearpage
\glsaddall
\printglossaries
\clearpage
\end{appendices}
%\include{perceptron}
%\include{margin_maximization}
%\include{linear_classifiers}
%\include{logistic_regression} old version
%\include{recommender_systems}
%\include{collaborative_filtering}
\end{document}