245 lines
7.7 KiB
HTML
245 lines
7.7 KiB
HTML
<!DOCTYPE html>
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<html xmlns="http://www.w3.org/1999/xhtml">
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<head>
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<meta charset="utf-8" />
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<title>Artificial Intelligence</title>
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</head>
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<body>
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<h1>Artificial Intelligence</h1>
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<section>
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<address class="h-card">
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by
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<a rel="author" class="u-url" href="http://changelog.ca/"><span class="p-given-name">Charles</span> <span class="p-additional-name">Iliya</span> <span class="p-family-name">Krempeaux</span></a>
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</address>
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</section>
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<section>
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<p>
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<strong>Artificial Intelligence</strong> (<abbr title="artificial intelligence">AI</abbr>) is <a href="intelligence/">intelligence</a> of <a href="software/">software</a> or a <a href="machine/">machine</a>.
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</p>
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<p>
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<strong>Artificial Intelligence</strong> is usually considered a sub-topic of <strong>computing</strong>.
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</p>
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<p>
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If you are new to <strong>Artificial Intelligence</strong>, start with the <a href="introduction/">introduction</a>.
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</p>
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</section>
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<section>
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<h2>Index</h2>
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<section id="A">
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<h2>A</h2>
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<ul>
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<li><a href="a-a-testing/">a a testing</a></li>
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<li><a href="a-b-testing/">a b testing</a></li>
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<li><a href="activation-function/">activation-function</a></li>
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<li><a href="artificial-neural-network/">artificial-neural-network</a></li>
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</ul>
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</section>
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<section id="B">
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<h2>B</h2>
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<ul>
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<li><a href="back-propagation/">back-propagation</a></li>
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<li><a href="bandit/">bandit</a></li>
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<li><a href="bayes-rule/">bayes-rule</a></li>
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<li><a href="bernoulli-distribution/">bernoulli-distribution</a></li>
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<li><a href="big-data/">big-data</a></li>
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<li><a href="binomial-distribution/">binomial-distribution</a></li>
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<li><a href="business-intelligence/">business-intelligence</a></li>
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</ul>
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</section>
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<section id="C">
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<h2>C</h2>
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<ul>
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<li><a href="central-limit-theorem/">central-limit-theorem</a></li>
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<li><a href="classification/">classification</a></li>
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<li><a href="clustering/">clustering</a></li>
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<li><a href="computer-vision/">computer-vision</a></li>
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<li><a href="curse-of-dimensionality/">curse-of-dimensionality</a></li>
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</ul>
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</section>
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<section id="D">
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<h2>D</h2>
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<ul>
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<li><a href="data/">data</a></li>
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<li><a href="data-engineer/">data-engineer</a></li>
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<li><a href="data-engineering/">data-engineering</a></li>
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<li><a href="data-science/">data-science</a></li>
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<li><a href="data-scientist/">data-scientist</a></li>
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<li><a href="database/">database</a></li>
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<li><a href="datum/">datum</a></li>
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<li><a href="decision-tree/">decision-tree</a></li>
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<li><a href="deep-learning/">deep-learning</a></li>
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<li><a href="dirichlet-distribution/">dirichlet-distribution</a></li>
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</ul>
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</section>
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<section id="E">
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<h2>E</h2>
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<ul>
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<li><a href="empirical-distribution/">empirical-distribution</a></li>
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<li><a href="epsilon-greed/">epsilon-greedy</a></li>
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<li><a href="evolutionary-algorithm/">evolutionary-algorithm</a></li>
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<li><a href="exploitation/">exploitation</a></li>
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<li><a href="exploration/">exploration</a></li>
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<li><a href="exponential-distribution/">exponential-distribution</a></li>
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</ul>
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</section>
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<section id="F">
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<h2>F</h2>
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<ul>
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<li><a href="feature/">feature</a></li>
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<li><a href="feature-engineering/">feature-engineering</a></li>
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<li><a href="fraud-detection/">fraud-detection</a></li>
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</ul>
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</section>
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<section id="G">
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<h2>G</h2>
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<ul>
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<li><a href="gaussian-distribution/">gaussian-distribution</a></li>
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<li><a href="gaussian-process/">gaussian-process</a></li>
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<li><a href="genetic-algorithm/">genetic-algorithm</a></li>
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<li><a href="gradient-descent/">gradient-descent</a></li>
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<li><a href="ground-truth/">ground-truth</a></li>
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</ul>
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</section>
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<section id="H">
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<h2>H</h2>
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</section>
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<section id="I">
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<h2>I</h2>
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<ul>
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<li><a href="interval-data/">interval-data</a></li>
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<li><a href="introduction/">introduction</a></li>
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</ul>
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</section>
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<section id="J">
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<h2>J</h2>
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</section>
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<section id="K">
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<h2>K</h2>
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<ul>
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<li><a href="k-means/">k-means</a></li>
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</ul>
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</section>
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<section id="L">
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<h2>L</h2>
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<ul>
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<li><a href="law-of-large-numbers/">law-of-large-numbers</a></li>
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<li><a href="levels-of-measurement/">levels-of-measurement</a></li>
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<li><a href="likelihood/">likelihood</a></li>
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<li><a href="linear/">linear</a></li>
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<li><a href="linear-regression/">linear-regression</a></li>
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<li><a href="logistic-function/">logistic-function</a></li>
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<li><a href="logistic-regression/">logistic-regression</a></li>
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</ul>
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</section>
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<section id="M">
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<h2>M</h2>
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<ul>
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<li><a href="machine/">machine</a></li>
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<li><a href="machine-learning/">machine-learning</a></li>
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<li><a href="machine-learning-engineer/">machine-learning-engineer</a></li>
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<li><a href="mean/">mean</a></li>
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<li><a href="monte-carlo-simulation/">monte-carlo-simulation</a></li>
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<li><a href="modeling/">modeling</a></li>
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<li><a href="multi-armed-bandit/">multi-armed-bandit</a></li>
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</ul>
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</section>
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<section id="N">
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<h2>N</h2>
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<ul>
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<li><a href="naive-bayes/">naive-bayes</a></li>
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<li><a href="natural-language-processing/">natural-language-processing</a></li>
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<li><a href="nominal-data/">nominal-data</a></li>
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<li><a href="non-linear/">non-linear</a></li>
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</ul>
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</section>
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<section id="O">
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<h2>O</h2>
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<ul>
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<li><a href="online-advertising/">online-advertising</a></li>
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<li><a href="optical-character-recognition/">optical-character-recognition</a></li>
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<li><a href="ordinal-data/">ordinal-data</a></li>
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</ul>
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</section>
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<section id="P">
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<h2>P</h2>
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<ul>
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<li><a href="pareto-distribution/">pareto-distribution</a></li>
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<li><a href="porter-stemmer/">porter-stemmer</a></li>
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<li><a href="posterior/">posterior</a></li>
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<li><a href="principal-component-analysis/">principal-component-analysis</a></li>
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<li><a href="prior/">prior</a></li>
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<li><a href="python-programming-language/">python-programming-language</a></li>
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</ul>
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</section>
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<section id="Q">
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<h2>Q</h2>
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<ul>
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<li><a href="q-learning/">q-learning</a></li>
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<li><a href="qualitative-data/">qualitative-data</a></li>
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<li><a href="quantitative-data/">quantitative-data</a></li>
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<li><a href="qualitative-research/">qualitative-research</a></li>
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<li><a href="quantitative-research/">quantitative-research</a></li>
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</ul>
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</section>
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<section id="R">
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<h2>R</h2>
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<ul>
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<li><a href="r-programming-language/">r-programming-language</a></li>
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<li><a href="random-forest/">random-forest</a></li>
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<li><a href="ratio-data/">ratio-data</a></li>
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<li><a href="recurrent-neural-network/">recurrent-neural-network</a></li>
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<li><a href="regression/">regression</a></li>
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<li><a href="reinforcement-learning/">reinforcement-learning</a></li>
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</ul>
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</section>
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<section id="S">
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<h2>S</h2>
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<ul>
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<li><a href="sci-fi-ai/">sci-fi-ai</a></li>
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<li><a href="softmax/">softmax</a></li>
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<li><a href="software/">software</a></li>
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<li><a href="sql/">sql</a></li>
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<li><a href="stemming/">stemming</a></li>
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<li><a href="supervised-learning/">supervised-learning</a></li>
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<li><a href="support-vector-machine/">support-vector-machine</a></li>
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</ul>
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</section>
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<section id="T">
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<h2>T</h2>
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<ul>
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<li><a href="time-series/">time-series</a></li>
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<li><a href="training/">training</a></li>
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</ul>
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</section>
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<section id="U">
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<h2>U</h2>
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<ul>
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<li><a href="unsupervised-learning/">unsupervised-learning</a></li>
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</ul>
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</section>
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<section id="V">
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<h2>V</h2>
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<ul>
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<li><a href="variance/">variance</a></li>
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<li><a href="vector/">vector</a></li>
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<li><a href="visualization/">visualization</a></li>
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</ul>
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</section>
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<section id="W">
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<h2>W</h2>
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</section>
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<section id="X">
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<h2>X</h2>
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</section>
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<section id="Y">
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<h2>Y</h2>
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</section>
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<section id="Z">
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<h2>Z</h2>
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</section>
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</section>
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</body>
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</html>
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