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<html> | ||
<meta name="description" content="STAT3007/STAT7007"> | ||
<meta http-equiv="Content-Type" content="text/html; charset=utf-8"/> | ||
<meta name="keywords" content="STAT3007, machine learning, theory and applications"> | ||
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<head> | ||
<style> | ||
.course_title { | ||
color: brown; | ||
text-align: center; | ||
} | ||
.body { | ||
margin-left: 15%; | ||
margin-right: 25%; | ||
} | ||
table { | ||
border-collapse: collapse; | ||
width: 100%; | ||
} | ||
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border-top: 2px solid #ccc; | ||
border-bottom: 2px solid #ccc; | ||
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th, td { | ||
padding-top: 0.2em; | ||
padding-bottom: 0.5em; | ||
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text-align: left; | ||
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<!-- Global site tag (gtag.js) - Google Analytics --> | ||
<script async src="https://www.googletagmanager.com/gtag/js?id=UA-125717656-1"></script> | ||
<script> | ||
window.dataLayer = window.dataLayer || []; | ||
function gtag(){dataLayer.push(arguments);} | ||
gtag('js', new Date()); | ||
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gtag('config', 'UA-125717656-1'); | ||
</script> | ||
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<title>STAT3007/STAT7007 Deep Learning</title> | ||
</head> | ||
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<!--body class='body' style='font-family:"Comic Sans MS"'--> | ||
<body class='body'> | ||
<H1 class="course_title">DATA7703 Machine Learning for Data Scientists</H1> | ||
<H3 style="text-align:center">Semester 2 2022</H3> | ||
<b>Lecturer: <a href="../../index.html">Nan Ye</a></b><br> | ||
<p> | ||
<b>Course Description:</b> | ||
This is the second half of the course DATA7703, covering some advanced machine | ||
learning techniques. | ||
</p> | ||
<b>Slides</b> | ||
<ul> | ||
<li><a href="notes/ensemble.pdf">Ensemble Methods</a> | ||
<li><a href="notes/mlp.pdf">Multilayer Perceptrons</a> | ||
<li><a href="notes/cnn.pdf">Convolutional Neural Networks</a> | ||
<li><a href="notes/robust.pdf">Robust Machine Learning</a> | ||
<li><a href="notes/interpret.pdf">Interpretable Machine Learning</a> | ||
<li><a href="notes/bayesian.pdf">Gaussian Processes</a> | ||
<li><a href="notes/review.pdf">Review</a> | ||
</ul> | ||
</body> | ||
</html> |
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