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        <title><![CDATA[Stories by Sunghyun Ahn on Medium]]></title>
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            <title><![CDATA[The “MA” in ARIMA Is a Trap]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science-collective/the-ma-in-arima-is-a-trap-cba83c382d63?source=rss-717b3cf91377------2"><img src="https://cdn-images-1.medium.com/max/2600/1*z-V0F1oWePi4IrRSkbhJBg.jpeg" width="4553"></a></p><p class="medium-feed-snippet">Moving Average of Errors is not a rolling average</p><p class="medium-feed-link"><a href="https://medium.com/data-science-collective/the-ma-in-arima-is-a-trap-cba83c382d63?source=rss-717b3cf91377------2">Continue reading on Data Science Collective »</a></p></div>]]></description>
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            <pubDate>Tue, 13 Oct 2026 03:20:21 GMT</pubDate>
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            <title><![CDATA[Clustering NYSE Companies by Sector Using Earnings Calls]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science-collective/clustering-nyse-listed-companies-by-sectors-using-earnings-call-transcripts-unsupervised-learning-9fd3c96f87a5?source=rss-717b3cf91377------2"><img src="https://cdn-images-1.medium.com/max/2600/1*reGtoI98Y16s8X9ytG4ACQ.jpeg" width="5184"></a></p><p class="medium-feed-snippet">Using Unsupervised Learning Techniques (SVD, PCA, and Clustering) to Identify Sector Patterns</p><p class="medium-feed-link"><a href="https://medium.com/data-science-collective/clustering-nyse-listed-companies-by-sectors-using-earnings-call-transcripts-unsupervised-learning-9fd3c96f87a5?source=rss-717b3cf91377------2">Continue reading on Data Science Collective »</a></p></div>]]></description>
            <link>https://medium.com/data-science-collective/clustering-nyse-listed-companies-by-sectors-using-earnings-call-transcripts-unsupervised-learning-9fd3c96f87a5?source=rss-717b3cf91377------2</link>
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            <dc:creator><![CDATA[Sunghyun Ahn]]></dc:creator>
            <pubDate>Mon, 26 May 2025 00:36:19 GMT</pubDate>
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            <title><![CDATA[How Optimizers and Loss Functions Work in Machine Learning]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science-collective/how-optimizers-and-loss-functions-work-in-machine-learning-e388fab6ec59?source=rss-717b3cf91377------2"><img src="https://cdn-images-1.medium.com/max/2600/1*Lyh4CKXFALxnd-FB_P2Xhg.jpeg" width="6000"></a></p><p class="medium-feed-snippet">What those two lines in your model.compile() are really doing behind the scenes | Data Science for Machine Learning Series (4)</p><p class="medium-feed-link"><a href="https://medium.com/data-science-collective/how-optimizers-and-loss-functions-work-in-machine-learning-e388fab6ec59?source=rss-717b3cf91377------2">Continue reading on Data Science Collective »</a></p></div>]]></description>
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            <dc:creator><![CDATA[Sunghyun Ahn]]></dc:creator>
            <pubDate>Sun, 04 May 2025 03:06:43 GMT</pubDate>
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            <title><![CDATA[Why Backpropagation Is So Important For Models In Machine Learning]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science-collective/why-backpropagation-is-so-important-for-models-in-machine-learning-4736591b24b3?source=rss-717b3cf91377------2"><img src="https://cdn-images-1.medium.com/max/2600/1*7xaWTdSG9NEJisj2TVdNzg.jpeg" width="5996"></a></p><p class="medium-feed-snippet">How gradients drive learning in neural networks | Data Science for Machine Learning Series (5)</p><p class="medium-feed-link"><a href="https://medium.com/data-science-collective/why-backpropagation-is-so-important-for-models-in-machine-learning-4736591b24b3?source=rss-717b3cf91377------2">Continue reading on Data Science Collective »</a></p></div>]]></description>
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            <dc:creator><![CDATA[Sunghyun Ahn]]></dc:creator>
            <pubDate>Sun, 04 May 2025 03:01:21 GMT</pubDate>
            <atom:updated>2025-05-05T18:55:58.007Z</atom:updated>
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            <title><![CDATA[Transfer Learning: Why We Freeze and Unfreeze Model Layers]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science-collective/transfer-learning-why-we-freeze-and-unfreeze-model-layers-0e0b8f9837ec?source=rss-717b3cf91377------2"><img src="https://cdn-images-1.medium.com/max/2600/1*556uOv1qKXvV-wDmISBT7w.jpeg" width="4032"></a></p><p class="medium-feed-snippet">Choosing the Right Layers to Freeze When Fine-tuning | Data Science for Machine Learning Series (3)</p><p class="medium-feed-link"><a href="https://medium.com/data-science-collective/transfer-learning-why-we-freeze-and-unfreeze-model-layers-0e0b8f9837ec?source=rss-717b3cf91377------2">Continue reading on Data Science Collective »</a></p></div>]]></description>
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            <pubDate>Wed, 30 Apr 2025 03:23:50 GMT</pubDate>
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            <title><![CDATA[A Comprehensive Guide to Sqoop: SQL to Hadoop Integration]]></title>
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            <link>https://medium.com/data-science-collective/sql-to-hadoop-how-sqoop-makes-big-data-transfers-simple-02e0aa66945a?source=rss-717b3cf91377------2</link>
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            <pubDate>Mon, 21 Apr 2025 18:49:20 GMT</pubDate>
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            <title><![CDATA[Understanding Hadoop MapReduce with a Log File Example]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@sahn1998/understanding-hadoop-mapreduce-with-a-log-file-example-a98c2a090132?source=rss-717b3cf91377------2"><img src="https://cdn-images-1.medium.com/max/2600/1*97S_swZ8fu3WwA147562-w.jpeg" width="5760"></a></p><p class="medium-feed-snippet">How MapReduce works | Introduction to Big Data (2.5)</p><p class="medium-feed-link"><a href="https://medium.com/@sahn1998/understanding-hadoop-mapreduce-with-a-log-file-example-a98c2a090132?source=rss-717b3cf91377------2">Continue reading on Medium »</a></p></div>]]></description>
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            <dc:creator><![CDATA[Sunghyun Ahn]]></dc:creator>
            <pubDate>Sun, 20 Apr 2025 01:05:43 GMT</pubDate>
            <atom:updated>2025-04-20T01:17:18.904Z</atom:updated>
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            <title><![CDATA[Understanding Hadoop Basics]]></title>
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            <dc:creator><![CDATA[Sunghyun Ahn]]></dc:creator>
            <pubDate>Thu, 17 Apr 2025 01:39:17 GMT</pubDate>
            <atom:updated>2025-04-20T01:18:22.459Z</atom:updated>
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            <title><![CDATA[Big Data Before and After Hadoop]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science-collective/big-data-before-and-after-hadoop-a-tale-of-two-eras-d85e93dcac59?source=rss-717b3cf91377------2"><img src="https://cdn-images-1.medium.com/max/960/1*5rboVr_Bq-WYlKk8307t6g.png" width="960"></a></p><p class="medium-feed-snippet">Introduction to Big Data (1)</p><p class="medium-feed-link"><a href="https://medium.com/data-science-collective/big-data-before-and-after-hadoop-a-tale-of-two-eras-d85e93dcac59?source=rss-717b3cf91377------2">Continue reading on Data Science Collective »</a></p></div>]]></description>
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            <dc:creator><![CDATA[Sunghyun Ahn]]></dc:creator>
            <pubDate>Wed, 16 Apr 2025 03:55:43 GMT</pubDate>
            <atom:updated>2025-04-18T01:47:17.740Z</atom:updated>
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            <title><![CDATA[Understanding Naïve Bayes for Classification (ML)]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science-collective/understanding-na%C3%AFve-bayes-for-classification-ml-66ae678340b2?source=rss-717b3cf91377------2"><img src="https://cdn-images-1.medium.com/max/960/1*t07OlLtwB5UNqTKzMPyACw.png" width="960"></a></p><p class="medium-feed-snippet">Na&#xEF;ve Bayes with Statistics: Review for Statistical Machine Learning Series (2)</p><p class="medium-feed-link"><a href="https://medium.com/data-science-collective/understanding-na%C3%AFve-bayes-for-classification-ml-66ae678340b2?source=rss-717b3cf91377------2">Continue reading on Data Science Collective »</a></p></div>]]></description>
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            <dc:creator><![CDATA[Sunghyun Ahn]]></dc:creator>
            <pubDate>Tue, 18 Feb 2025 18:49:43 GMT</pubDate>
            <atom:updated>2025-02-19T19:41:03.344Z</atom:updated>
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