resources.html

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title: Resources
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        <h2 class="title">Course Textbook</h2>
        <p>
            A version 0.0 of course notes can be found
            <a href="https://github.com/harvard-ml-courses/cs181-textbook/blob/master/Textbook.pdf" target="_blank">
                here
            </a>.
        </p>

        <h2 class="title">Relevant Textbooks</h2>
        <ul class="lists">
            <li>
                <a href="http://www.springer.com/us/book/9780387310732" target="_blank">Bishop 2006, Pattern Recognition and Machine Learning</a>
            </li>
            <li>
                <a target="_blank" href="http://harvardcoopbooks.bncollege.com/webapp/wcs/stores/servlet/BNCB_TextbookDetailView?catalogId=10001&item=N&langId=-1&productId=600005699137&storeId=52084">
                    Murphy 2012, Machine Learning: A Probabilistic Perspective</a>
            </li>
            <li>
                <a target="_blank" href="http://www2.imm.dtu.dk/pubdb/views/edoc_download.php/3274/pdf/imm3274.pdf">
                    Petersen and Pedersen 2012, The Matrix Cookbook</a>
            <li>
                <a target="_blank" href="https://www.cs.ubc.ca/~murphyk/Bayes/bnintro.html">
                    Murphy 1998, Bayesian Network Tutorial</a>
            <li>
                <a target="_blank" href="https://www.cs.ubc.ca/~murphyk/Bayes/rabiner.pdf">
                    Rabiner 1989, Tutorial on HMMs</a>
            <li>
                <a id="sb" target="_blank" href="http://incompleteideas.net/book/RLbook2020.pdf">
                    Sutton and Barto 2018, Reinforcement Learning: An Introduction</a>
            <li>
                <a id="sb" target="_blank" href="https://mml-book.github.io/">
                    Deisenroth, Faisal, and Ong 2020, Mathematics for Machine Learning</a>
        </ul>
        
    </div>
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