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add table of figures
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@ -448,16 +448,31 @@ See the pdftex.def package documentation for explanation.
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Type H <return> for immediate help.
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...
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l.220 \includegraphics{bayesrisk.jpg}
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@ -217,7 +217,12 @@ $$\
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$$
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\barra{E} \left[ \, \ell , f^*(x) \, \right] = \barra{E} \left[ \, min \, \{ \eta(x) , 1- \eta(x) \} \, \right]
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$$
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\includegraphics{bayesrisk.jpg}
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\begin{figure}[h]
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\centering
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\includegraphics[width=1\textwidth]{bayesrisk.jpg}
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\caption{Example of Bayes Risk}
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%\label{fig:}
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\end{figure}
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\\
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[20] [21] (lectures/lecture5.tex
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\newpage
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\tableofcontents
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%\listoftables
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\listoffigures
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\babel@toc {english}{}
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\contentsline {chapter}{\numberline {1}Lecture 1 - 09-03-2020}{3}%
|
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\contentsline {section}{\numberline {1.1}Introduction}{3}%
|
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\contentsline {chapter}{\numberline {2}Lecture 2 - 07-04-2020}{6}%
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\contentsline {section}{\numberline {2.1}Argomento}{6}%
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\contentsline {chapter}{\numberline {3}Lecture 3 - 07-04-2020}{12}%
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\contentsline {subsection}{\numberline {3.1.1}Noise in the data}{14}%
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\contentsline {section}{\numberline {3.3}Nearest neighbour}{16}%
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\contentsline {chapter}{\numberline {4}Lecture 4 - 07-04-2020}{18}%
|
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\contentsline {section}{\numberline {4.1}Computing $h_{NN}$}{18}%
|
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\contentsline {section}{\numberline {4.2}Tree Predictor}{19}%
|
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\contentsline {chapter}{\numberline {5}Lecture 5 - 07-04-2020}{22}%
|
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\contentsline {section}{\numberline {5.1}Tree Classifier}{22}%
|
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\contentsline {section}{\numberline {5.2}Jensen’s inequality}{23}%
|
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\contentsline {section}{\numberline {5.3}Tree Predictor}{25}%
|
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\contentsline {section}{\numberline {5.4}Statistical model for Machine Learning}{26}%
|
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\contentsline {chapter}{\numberline {6}Lecture 6 - 07-04-2020}{28}%
|
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\contentsline {section}{\numberline {6.1}Bayes Optimal Predictor}{28}%
|
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\contentsline {subsection}{\numberline {6.1.1}Square Loss}{29}%
|
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\contentsline {subsection}{\numberline {6.1.2}Zero-one loss for binary classification}{30}%
|
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\contentsline {section}{\numberline {6.2}Bayes Risk}{32}%
|
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\contentsline {chapter}{\numberline {7}Lecture 7 - 07-04-2020}{33}%
|
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\contentsline {chapter}{\numberline {8}Lecture 8 - 07-04-2020}{34}%
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\contentsline {chapter}{\numberline {9}Lecture 9 - 07-04-2020}{35}%
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\contentsline {chapter}{\numberline {10}Lecture 10 - 07-04-2020}{36}%
|
||||
\contentsline {section}{\numberline {10.1}TO BE DEFINE}{36}%
|
||||
\contentsline {chapter}{\numberline {1}Lecture 1 - 09-03-2020}{4}%
|
||||
\contentsline {section}{\numberline {1.1}Introduction}{4}%
|
||||
\contentsline {chapter}{\numberline {2}Lecture 2 - 07-04-2020}{7}%
|
||||
\contentsline {section}{\numberline {2.1}Argomento}{7}%
|
||||
\contentsline {section}{\numberline {2.2}Loss}{7}%
|
||||
\contentsline {subsection}{\numberline {2.2.1}Absolute Loss}{7}%
|
||||
\contentsline {subsection}{\numberline {2.2.2}Square Loss}{8}%
|
||||
\contentsline {subsection}{\numberline {2.2.3}Example of information of square loss}{8}%
|
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\contentsline {subsection}{\numberline {2.2.4}labels and losses}{9}%
|
||||
\contentsline {subsection}{\numberline {2.2.5}Example TF(idf) documents encoding}{11}%
|
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\contentsline {chapter}{\numberline {3}Lecture 3 - 07-04-2020}{13}%
|
||||
\contentsline {section}{\numberline {3.1}Overfitting}{15}%
|
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\contentsline {subsection}{\numberline {3.1.1}Noise in the data}{15}%
|
||||
\contentsline {section}{\numberline {3.2}Underfitting}{16}%
|
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\contentsline {section}{\numberline {3.3}Nearest neighbour}{17}%
|
||||
\contentsline {chapter}{\numberline {4}Lecture 4 - 07-04-2020}{19}%
|
||||
\contentsline {section}{\numberline {4.1}Computing $h_{NN}$}{19}%
|
||||
\contentsline {section}{\numberline {4.2}Tree Predictor}{20}%
|
||||
\contentsline {chapter}{\numberline {5}Lecture 5 - 07-04-2020}{23}%
|
||||
\contentsline {section}{\numberline {5.1}Tree Classifier}{23}%
|
||||
\contentsline {section}{\numberline {5.2}Jensen’s inequality}{24}%
|
||||
\contentsline {section}{\numberline {5.3}Tree Predictor}{26}%
|
||||
\contentsline {section}{\numberline {5.4}Statistical model for Machine Learning}{27}%
|
||||
\contentsline {chapter}{\numberline {6}Lecture 6 - 07-04-2020}{29}%
|
||||
\contentsline {section}{\numberline {6.1}Bayes Optimal Predictor}{29}%
|
||||
\contentsline {subsection}{\numberline {6.1.1}Square Loss}{30}%
|
||||
\contentsline {subsection}{\numberline {6.1.2}Zero-one loss for binary classification}{31}%
|
||||
\contentsline {section}{\numberline {6.2}Bayes Risk}{33}%
|
||||
\contentsline {chapter}{\numberline {7}Lecture 7 - 07-04-2020}{34}%
|
||||
\contentsline {chapter}{\numberline {8}Lecture 8 - 07-04-2020}{35}%
|
||||
\contentsline {chapter}{\numberline {9}Lecture 9 - 07-04-2020}{36}%
|
||||
\contentsline {chapter}{\numberline {10}Lecture 10 - 07-04-2020}{37}%
|
||||
\contentsline {section}{\numberline {10.1}TO BE DEFINE}{37}%
|
||||
|
||||
Loading…
Reference in New Issue
Block a user