update week 44
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@@ -20,6 +20,18 @@ o Decision Trees: Geron's chapter 6 covers decision trees while ensemble models,
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o Clustering and PCA, see Geron's chapter 8 and "Lecture notes":"https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter8.html"
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!eblock
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!split
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===== Digression First =====
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For those of you interested in the fast growing areas of applications of Machine Learning, this article about "Applications and techniques for fast machine learning in science":"https://arxiv.org/abs/2110.13041" may be interesting.
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It has several interesting perspectives and highly interesting
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applications that link scientific discoveries with efficient software
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and hardware. The emphasis is onintegrating power Machine Learning
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methods into the real-time experimental data processing loop to
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accelerate scientific discovery.
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!split
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===== Thursday, Principal Component Analysis =====
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