Master-DataScience-Notes/1year/3trimester/Machine Learning, Statistical Learning, Deep Learning and Artificial Intelligence/Machine Learning/lectures/lecture6.aux

12 lines
810 B
TeX
Raw Normal View History

2020-04-13 12:52:55 +02:00
\relax
\@nameuse{bbl@beforestart}
\babel@aux{english}{}
2020-04-13 15:18:17 +02:00
\@writefile{toc}{\contentsline {chapter}{\numberline {1}Lecture 6 - 07-04-2020}{1}\protected@file@percent }
2020-04-13 12:52:55 +02:00
\@writefile{lof}{\addvspace {10\p@ }}
\@writefile{lot}{\addvspace {10\p@ }}
2020-04-13 15:18:17 +02:00
\@writefile{toc}{\contentsline {section}{\numberline {1.1}Bayes Optimal Predictor}{1}\protected@file@percent }
\@writefile{toc}{\contentsline {subsection}{\numberline {1.1.1}Square Loss}{2}\protected@file@percent }
\@writefile{toc}{\contentsline {subsection}{\numberline {1.1.2}Zero-one loss for binary classification}{3}\protected@file@percent }
\@writefile{toc}{\contentsline {section}{\numberline {1.2}Bayes Risk}{5}\protected@file@percent }
2020-04-13 15:32:32 +02:00
\@writefile{lof}{\contentsline {figure}{\numberline {1.1}{\ignorespaces Example of Bayes Risk}}{5}\protected@file@percent }