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fortierq committed Nov 18, 2023
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1 change: 1 addition & 0 deletions _sources/dl/algo/prog_dyn/cours/prog_dyn.ipynb
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1 change: 1 addition & 0 deletions _sources/dl/apprentissage/cours/knn/knn.ipynb
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1 change: 1 addition & 0 deletions dl/algo/prog_dyn/cours/prog_dyn.html
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Expand Up @@ -638,6 +638,7 @@ <h1>Programmation dynamique<a class="headerlink" href="#programmation-dynamique"
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<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">knapsack</span><span class="p">(</span><span class="n">c</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="n">v</span><span class="p">):</span>
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Expand Up @@ -629,6 +629,7 @@ <h2> Contents </h2>
<h1>Cours : Algorithme des k plus proches voisins<a class="headerlink" href="#cours-algorithme-des-k-plus-proches-voisins" title="Permalink to this headline">#</a></h1>
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<iframe src=https://mozilla.github.io/pdf.js/web/viewer.html?file=https://raw.githubusercontent.com/fortierq/cours/main/apprentissage/cours/knn/knn.pdf#zoom=page-fit&pagemode=none height=500 width=100% allowfullscreen></iframe><iframe src=https://mozilla.github.io/pdf.js/web/viewer.html?file=https://raw.githubusercontent.com/fortierq/cours/main/apprentissage/cours/knn/knn.pdf#zoom=page-fit&pagemode=none height=500 width=100% allowfullscreen></iframe><p>Nous allons classifier deux ensembles de points (rouge et bleu) issus de deux distributions gaussiennes (de paramètres différents), avec la méthode des <span class="math notranslate nohighlight">\(k\)</span> plus proches voisins :</p>
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