2020-04-12 19:35:06 +02:00
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\babel@toc {english}{}
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2020-04-12 21:42:51 +02:00
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\contentsline {section}{\numberline {1}Lecture 1 - 09-03-2020}{3}%
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\contentsline {subsection}{\numberline {1.1}Introduction}{3}%
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\contentsline {section}{\numberline {2}Lecture 2 - 07-04-2020}{6}%
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\contentsline {subsection}{\numberline {2.1}Argomento}{6}%
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\contentsline {subsection}{\numberline {2.2}Loss}{6}%
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\contentsline {subsubsection}{\numberline {2.2.1}Absolute Loss}{6}%
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\contentsline {subsubsection}{\numberline {2.2.2}Square Loss}{7}%
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\contentsline {subsubsection}{\numberline {2.2.3}Example of information of square loss}{7}%
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\contentsline {subsubsection}{\numberline {2.2.4}labels and losses}{9}%
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\contentsline {subsubsection}{\numberline {2.2.5}Example TF(idf) documents encoding}{10}%
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\contentsline {section}{\numberline {3}Lecture 3 - 07-04-2020}{12}%
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\contentsline {subsection}{\numberline {3.1}Overfitting}{14}%
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\contentsline {subsubsection}{\numberline {3.1.1}Noise in the data}{14}%
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\contentsline {subsection}{\numberline {3.2}Underfitting}{16}%
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\contentsline {subsection}{\numberline {3.3}Nearest neighbour}{16}%
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\contentsline {section}{\numberline {4}Lecture 4 - 07-04-2020}{18}%
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\contentsline {subsection}{\numberline {4.1}Computing $h_{NN}$}{18}%
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\contentsline {subsection}{\numberline {4.2}Tree Predictor}{19}%
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\contentsline {section}{\numberline {5}Lecture 5 - 07-04-2020}{22}%
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\contentsline {subsection}{\numberline {5.1}Tree Classifier}{22}%
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\contentsline {subsection}{\numberline {5.2}Jensen’s inequality}{23}%
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\contentsline {subsection}{\numberline {5.3}Tree Predictor}{25}%
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\contentsline {subsection}{\numberline {5.4}Statistical model for Machine Learning}{26}%
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\contentsline {section}{\numberline {6}Lecture 6 - 07-04-2020}{28}%
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\contentsline {section}{\numberline {7}Lecture 7 - 07-04-2020}{29}%
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\contentsline {section}{\numberline {8}Lecture 8 - 07-04-2020}{30}%
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\contentsline {section}{\numberline {9}Lecture 9 - 07-04-2020}{31}%
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\contentsline {section}{\numberline {10}Lecture 10 - 07-04-2020}{32}%
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\contentsline {subsection}{\numberline {10.1}TO BE DEFINE}{32}%
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