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Morten Hjorth-Jensen
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<li><p>Lab Wednesday:</p></li>
<li><p>Lecture Thursday: Resampling methods, cross-validation and Bootstrap</p></li>
<li><p>Lecture Friday: More on Resampling methods and summary of linear regression</p></li>
<li><p>Reading recommendations: See lecture notes for week 37 at <a class="reference external" href="https://compphysics.github.io/MachineLearning/doc/web/course.html">https://compphysics.github.io/MachineLearning/doc/web/course.html</a>.</p>
<li><p>Reading recommendations:</p></li>
<li><p>Recommended Reading:</p>
<ul>
<li><p>Chapter</p></li>
<li><p>Lectures on Resampling methods for week 37 at <a class="reference external" href="https://compphysics.github.io/MachineLearning/doc/web/course.html">https://compphysics.github.io/MachineLearning/doc/web/course.html</a>.</p></li>
<li><p>Bishop 1.3 (cross-validation) and 3.2 (bias-variance tradeoff)</p></li>
<li><p>Hastie et al Chapter 7, here we recommend 7.1-7.5 and 7.10 (cross-validation) and 7.11 (bootstrap). This chapter is better than Bishop’s on these topics. Goodfellow et al discuss some of these topics in sections 5.2-5.5.</p></li>
</ul>
</li>
</ul>