bib,float,images,ml

cnam/travaux/probatoire/document.bib

@@ -1,6 +1,7 @@
 @book{homl-large-scale,
 author    = "Aurélien Géron",
 title     = "Hands-on Machine Learning",
+edition   = "2nd",
 year      = "2019",
 publisher = "O'Reilly",
 pages     = "154",
@@ -8,6 +9,7 @@ pages     = "154",
 @book{homl-hard-few,
 author    = "Aurélien Géron",
 title     = "Hands-on Machine Learning",
+edition   = "2nd",
 year      = "2019",
 publisher = "O'Reilly",
 pages     = "155",
@@ -15,20 +17,39 @@ pages     = "155",
 @book{homl-nonlinear-linear,
 author    = "Aurélien Géron",
 title     = "Hands-on Machine Learning",
+edition   = "2nd",
 year      = "2019",
 publisher = "O'Reilly",
 pages     = "157",
 }
+@book{homl-feat-poly,
+author    = "Aurélien Géron",
+title     = "Hands-on Machine Learning",
+edition   = "2nd",
+year      = "2019",
+publisher = "O'Reilly",
+pages     = "158",
+}
 @book{homl-poly,
 author    = "Aurélien Géron",
 title     = "Hands-on Machine Learning",
+edition   = "2nd",
 year      = "2019",
 publisher = "O'Reilly",
 pages     = "159",
 }
+@book{homl-feat-simi,
+author    = "Aurélien Géron",
+title     = "Hands-on Machine Learning",
+edition   = "2nd",
+year      = "2019",
+publisher = "O'Reilly",
+pages     = "160",
+}
 @book{homl-rbf,
 author    = "Aurélien Géron",
 title     = "Hands-on Machine Learning",
+edition   = "2nd",
 year      = "2019",
 publisher = "O'Reilly",
 pages     = "161",
@@ -36,6 +57,7 @@ pages     = "161",
 @book{homl-linear,
 author    = "Aurélien Géron",
 title     = "Hands-on Machine Learning",
+edition   = "2nd",
 year      = "2019",
 publisher = "O'Reilly",
 pages     = "163",
@@ -43,6 +65,7 @@ pages     = "163",
 @book{homl-nonlinear,
 author    = "Aurélien Géron",
 title     = "Hands-on Machine Learning",
+edition   = "2nd",
 year      = "2019",
 publisher = "O'Reilly",
 pages     = "164",

cnam/travaux/probatoire/document.tex

@@ -19,12 +19,12 @@ urlcolor=blue,
 %⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅
 \newcommand{\cnam}{\begin{center}
 \includegraphics[height=6em]{../cnam.png}\end{center}}
-
+%⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅
-\newcommand{\fig}[4]{\begin{figure}[!h]\begin{center}
+\newcommand{\fig}[4]{\begin{figure}[H]\begin{center}
 \includegraphics[height=#3]{images/#4.png}
 \caption{#2}\end{center}\end{figure}}
-
+%⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅
-\newcommand{\bifig}[5]{\begin{figure}[!h]\begin{center}
+\newcommand{\bifig}[5]{\begin{figure}[H]\begin{center}
 \includegraphics[height=#3]{images/#4.png}
 \includegraphics[height=#3]{images/#5.png}
 \caption{#2}\end{center}\end{figure}}
@@ -62,23 +62,15 @@ Informatique, Réseaux, Systèmes et Multimédia
 \begin{document}
 %⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅
 \import{front}
-%⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅
 \import{glossaries}
-%⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅
 \import{toc}
 %–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
 \import{introduction}
-%⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅
 \import{principles}
-%⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅
 \import{example}
-%⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅
 \import{pros}
-%⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅
 \import{cons}
-%⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅
 \import{limitations}
-%⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅
 \import{conclusion}
 %–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
 \printbibliography[heading=bibintoc,title=Références]

cnam/travaux/probatoire/document/introduction.tex

@@ -9,9 +9,9 @@ incompatibles avec les principes classiques des \gls{sgbd}.
 De nouvelles méthodologies ont donc dû être créées afin de pouvoir
 analyser puis exploiter ces \gls{bd}.
 
-\subsection{Le \gls{ml}}
+\subsection{Machine learning}
 
-Ce concept regroupe les différentes nouvelles approches méthodologiques
+Le \gls{ml} regroupe les différentes nouvelles approches méthodologiques
 permettant de faire ressortir une compréhension des \gls{bd}, en extraire
 des \glspl{dataset} exploitables puis, à partir de cet apprentissage,
 être en mesure de comprendre de nouvelles données.

cnam/travaux/probatoire/document/packages.tex

@@ -1,4 +1,5 @@
 \usepackage{extsizes}
+\usepackage{float}
 \usepackage{fontspec}
 \usepackage[a4paper,portrait,
 bmargin=20mm,lmargin=20mm,rmargin=20mm,tmargin=20mm]{geometry}

cnam/travaux/probatoire/document/principles.tex

@@ -79,11 +79,21 @@ deux types de résolution sont disponibles :
 
 …
 
+\fig{}{ \cite{homl-feat-poly}}
+{9em}{features_polynomial}
+
+…
+
 \bifig{}{Fonction noyau polynominale \cite{homl-poly}}
 {14em}{kernel_polynomial_left}{kernel_polynomial_right}
 
 …
 
+\bifig{}{ \cite{homl-feat-simi}}
+{14em}{features_similar_left}{features_similar_right}
+
+…
+
 \bifig{}{Fonction noyau gaussien \gls{rbf} \cite{homl-rbf}}
 {26em}{kernel_rbf_left}{kernel_rbf_right}