teaching1.html

<h1>Teaching material for <a href="https://probml.github.io/pml-book/book1.html">Probabilistic Machine Learning: An Introduction</a></h1>

	
<ul>
  		<li><a href="https://github.com/probml/pml-book/blob/main/solns-public.pdf">Solutions to selected exercises</a>. 
			(Official instructors can contact MIT Press for full solution manual.)
			<li> Instructors can request a free digital exam copy from
				<a href="https://mitpress.mit.edu/books/probabilistic-machine-learning">mitpress.mit.edu/PML</a>.
        <li> <a href="https://www.facebook.com/groups/DeepLearnng/files">Slides from PML reading group on Facebook (Fall 2021)
  	<li> <a href="https://github.com/shiernee/Advanced_ML">Slides by Shier Nee Saw</a> (University Malaya, Malaysia)
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    <li> <a href="">Slides by Sarosh Wahla</a> (Georgia Tech). Forthcoming.
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