<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0" xmlns:cc="http://cyber.law.harvard.edu/rss/creativeCommonsRssModule.html">
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        <title><![CDATA[Stories by Nikhil Dasari on Medium]]></title>
        <description><![CDATA[Stories by Nikhil Dasari on Medium]]></description>
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            <title>Stories by Nikhil Dasari on Medium</title>
            <link>https://medium.com/@dasarinikhil076?source=rss-87ba36ad84bc------2</link>
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        <item>
            <title><![CDATA[Probability vs. Likelihood: The Subtle Difference That Is Easy to Overlook]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@dasarinikhil076/probability-vs-likelihood-the-subtle-difference-that-is-easy-to-overlook-0cefed999c7b?source=rss-87ba36ad84bc------2"><img src="https://cdn-images-1.medium.com/max/2600/1*tYKBKy-XRGd0Sp-QBjfKZA.jpeg" width="6977"></a></p><p class="medium-feed-snippet">To understand this, let&#x2019;s start with a basic experiment we&#x2019;re already familiar with.</p><p class="medium-feed-link"><a href="https://medium.com/@dasarinikhil076/probability-vs-likelihood-the-subtle-difference-that-is-easy-to-overlook-0cefed999c7b?source=rss-87ba36ad84bc------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://medium.com/@dasarinikhil076/probability-vs-likelihood-the-subtle-difference-that-is-easy-to-overlook-0cefed999c7b?source=rss-87ba36ad84bc------2</link>
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            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[probability]]></category>
            <category><![CDATA[maximum-likelihood]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[math]]></category>
            <dc:creator><![CDATA[Nikhil Dasari]]></dc:creator>
            <pubDate>Sun, 01 Nov 2026 16:10:44 GMT</pubDate>
            <atom:updated>2026-11-01T16:10:44.864Z</atom:updated>
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        <item>
            <title><![CDATA[Huber Loss Explained: Why MSE and MAE Aren’t Always Enough]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@dasarinikhil076/huber-loss-explained-why-mse-and-mae-arent-always-enough-7bfb2e2db987?source=rss-87ba36ad84bc------2"><img src="https://cdn-images-1.medium.com/max/2600/0*1mJXCvhJ5N88uV5z" width="4608"></a></p><p class="medium-feed-snippet">Have you heard of Huber loss?</p><p class="medium-feed-link"><a href="https://medium.com/@dasarinikhil076/huber-loss-explained-why-mse-and-mae-arent-always-enough-7bfb2e2db987?source=rss-87ba36ad84bc------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://medium.com/@dasarinikhil076/huber-loss-explained-why-mse-and-mae-arent-always-enough-7bfb2e2db987?source=rss-87ba36ad84bc------2</link>
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            <category><![CDATA[mathematics]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[statistics]]></category>
            <dc:creator><![CDATA[Nikhil Dasari]]></dc:creator>
            <pubDate>Tue, 20 Oct 2026 07:43:37 GMT</pubDate>
            <atom:updated>2026-10-20T10:55:58.166Z</atom:updated>
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        <item>
            <title><![CDATA[Neural Networks, Explained for Beginners: Start Here If They’ve Confused You]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@dasarinikhil076/neural-networks-explained-for-beginners-start-here-if-theyve-confused-you-d46012c489a2?source=rss-87ba36ad84bc------2"><img src="https://cdn-images-1.medium.com/max/2000/0*PVQOiLcK6rHscsG5.jpg" width="2000"></a></p><p class="medium-feed-snippet">Nowadays, everyone&#x2019;s talking about the latest technologies like large language models, Agentic AI, multimodal systems, and techniques like&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/@dasarinikhil076/neural-networks-explained-for-beginners-start-here-if-theyve-confused-you-d46012c489a2?source=rss-87ba36ad84bc------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://medium.com/@dasarinikhil076/neural-networks-explained-for-beginners-start-here-if-theyve-confused-you-d46012c489a2?source=rss-87ba36ad84bc------2</link>
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            <category><![CDATA[deep-learning]]></category>
            <category><![CDATA[neural-networks]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[machine-learning]]></category>
            <dc:creator><![CDATA[Nikhil Dasari]]></dc:creator>
            <pubDate>Mon, 22 Jun 2026 06:00:28 GMT</pubDate>
            <atom:updated>2026-09-13T15:03:17.862Z</atom:updated>
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        <item>
            <title><![CDATA[Lasso Regression: Why the Solution Lives on a Diamond]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@dasarinikhil076/lasso-regression-why-the-solution-lives-on-a-diamond-52fa8af1a136?source=rss-87ba36ad84bc------2"><img src="https://cdn-images-1.medium.com/max/2600/0*KVOoB4w6NBa6LDDi" width="6000"></a></p><p class="medium-feed-snippet">In my recent blog post on linear regression, we solved a linear regression problem using the concept of vectors and projections instead of&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/@dasarinikhil076/lasso-regression-why-the-solution-lives-on-a-diamond-52fa8af1a136?source=rss-87ba36ad84bc------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://medium.com/@dasarinikhil076/lasso-regression-why-the-solution-lives-on-a-diamond-52fa8af1a136?source=rss-87ba36ad84bc------2</link>
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            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[math]]></category>
            <category><![CDATA[lasso-regression]]></category>
            <dc:creator><![CDATA[Nikhil Dasari]]></dc:creator>
            <pubDate>Thu, 23 Apr 2026 12:00:52 GMT</pubDate>
            <atom:updated>2026-07-14T09:34:07.407Z</atom:updated>
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        <item>
            <title><![CDATA[Linear Regression Is Actually a Projection Problem (Part 2: From Projections to Predictions)]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science-collective/linear-regression-is-actually-a-projection-problem-part-2-from-projections-to-predictions-ba4dd0e4adb9?source=rss-87ba36ad84bc------2"><img src="https://cdn-images-1.medium.com/max/2600/1*TVaTtsuGQQgz1vBAqtumSA.jpeg" width="5472"></a></p><p class="medium-feed-snippet">We think that linear regression is about fitting a line to data.</p><p class="medium-feed-link"><a href="https://medium.com/data-science-collective/linear-regression-is-actually-a-projection-problem-part-2-from-projections-to-predictions-ba4dd0e4adb9?source=rss-87ba36ad84bc------2">Continue reading on Data Science Collective »</a></p></div>]]></description>
            <link>https://medium.com/data-science-collective/linear-regression-is-actually-a-projection-problem-part-2-from-projections-to-predictions-ba4dd0e4adb9?source=rss-87ba36ad84bc------2</link>
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            <category><![CDATA[vector-projection]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[linear-regression]]></category>
            <category><![CDATA[linear-algebra]]></category>
            <category><![CDATA[machine-learning]]></category>
            <dc:creator><![CDATA[Nikhil Dasari]]></dc:creator>
            <pubDate>Thu, 02 Apr 2026 15:38:18 GMT</pubDate>
            <atom:updated>2026-06-06T07:32:59.155Z</atom:updated>
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        <item>
            <title><![CDATA[Linear Regression Is Actually a Projection Problem, Part 1: The Geometric Intuition]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@dasarinikhil076/linear-regression-is-actually-a-projection-problem-part-1-the-geometric-intuition-ae3569dbe464?source=rss-87ba36ad84bc------2"><img src="https://cdn-images-1.medium.com/max/2600/1*IzdAbrRdRixwmseQDqdjiw.jpeg" width="4970"></a></p><p class="medium-feed-snippet">For Non-Members, you can read it here.</p><p class="medium-feed-link"><a href="https://medium.com/@dasarinikhil076/linear-regression-is-actually-a-projection-problem-part-1-the-geometric-intuition-ae3569dbe464?source=rss-87ba36ad84bc------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://medium.com/@dasarinikhil076/linear-regression-is-actually-a-projection-problem-part-1-the-geometric-intuition-ae3569dbe464?source=rss-87ba36ad84bc------2</link>
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            <category><![CDATA[python]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[linear-algebra]]></category>
            <category><![CDATA[linear-regression]]></category>
            <dc:creator><![CDATA[Nikhil Dasari]]></dc:creator>
            <pubDate>Thu, 19 Mar 2026 13:30:23 GMT</pubDate>
            <atom:updated>2026-05-20T06:26:59.508Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[The Pearson Correlation Coefficient, Explained Simply]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@dasarinikhil076/the-pearson-correlation-coefficient-explained-simply-17d94d3f3699?source=rss-87ba36ad84bc------2"><img src="https://cdn-images-1.medium.com/max/2600/0*F4Zis-3tx6b3h1co" width="6000"></a></p><p class="medium-feed-snippet">When we want to build a regression model, which means fitting a straight line on the data to predict future values, we first visualize our&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/@dasarinikhil076/the-pearson-correlation-coefficient-explained-simply-17d94d3f3699?source=rss-87ba36ad84bc------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://medium.com/@dasarinikhil076/the-pearson-correlation-coefficient-explained-simply-17d94d3f3699?source=rss-87ba36ad84bc------2</link>
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            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[pearson-correlation]]></category>
            <category><![CDATA[statistics]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[beginner]]></category>
            <dc:creator><![CDATA[Nikhil Dasari]]></dc:creator>
            <pubDate>Sat, 01 Nov 2025 16:00:52 GMT</pubDate>
            <atom:updated>2026-02-09T02:41:32.636Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[How Hypothesis Testing is Actually Used in Machine Learning]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/why-does-hypothesis-testing-matter-in-machine-learning-4c0ceaefad73?source=rss-87ba36ad84bc------2"><img src="https://cdn-images-1.medium.com/max/2600/0*Bs62xqUtd-JOM_9t" width="4472"></a></p><p class="medium-feed-snippet">A simple walkthrough of how and where we use hypothesis testing in real ML workflows.</p><p class="medium-feed-link"><a href="https://pub.towardsai.net/why-does-hypothesis-testing-matter-in-machine-learning-4c0ceaefad73?source=rss-87ba36ad84bc------2">Continue reading on Towards AI »</a></p></div>]]></description>
            <link>https://pub.towardsai.net/why-does-hypothesis-testing-matter-in-machine-learning-4c0ceaefad73?source=rss-87ba36ad84bc------2</link>
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            <category><![CDATA[python]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[statistics]]></category>
            <category><![CDATA[hypothesis-testing]]></category>
            <category><![CDATA[data-science]]></category>
            <dc:creator><![CDATA[Nikhil Dasari]]></dc:creator>
            <pubDate>Wed, 01 Oct 2025 16:02:03 GMT</pubDate>
            <atom:updated>2025-10-07T13:59:32.379Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[The Kolmogorov-Smirnov Statistic Explained: Measuring Model Power in Credit Risk Modeling]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@dasarinikhil076/the-kolmogorov-smirnov-statistic-explained-measuring-model-power-in-credit-risk-modeling-8de5c73f3437?source=rss-87ba36ad84bc------2"><img src="https://cdn-images-1.medium.com/max/2600/0*E7Nd131kjDmHnJR0" width="5059"></a></p><p class="medium-feed-snippet">These days, people are taking more loans than ever. For anyone who wants to build their own house, home loans are available and if you own&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/@dasarinikhil076/the-kolmogorov-smirnov-statistic-explained-measuring-model-power-in-credit-risk-modeling-8de5c73f3437?source=rss-87ba36ad84bc------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://medium.com/@dasarinikhil076/the-kolmogorov-smirnov-statistic-explained-measuring-model-power-in-credit-risk-modeling-8de5c73f3437?source=rss-87ba36ad84bc------2</link>
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            <category><![CDATA[data-science]]></category>
            <category><![CDATA[credit-risk]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[python]]></category>
            <category><![CDATA[kolmogorov-smirnov]]></category>
            <dc:creator><![CDATA[Nikhil Dasari]]></dc:creator>
            <pubDate>Mon, 22 Sep 2025 20:56:30 GMT</pubDate>
            <atom:updated>2025-12-21T16:01:35.258Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[ROC AUC Explained: A Beginner’s Guide to Evaluating Classification Models]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science-collective/roc-auc-explained-a-beginners-guide-to-evaluating-classification-models-b4ff9caa310e?source=rss-87ba36ad84bc------2"><img src="https://cdn-images-1.medium.com/max/2600/0*oNmaIdF08DkSt4Sw" width="5650"></a></p><p class="medium-feed-snippet">Understand how ROC curves and AUC help you go beyond accuracy with visuals and examples.</p><p class="medium-feed-link"><a href="https://medium.com/data-science-collective/roc-auc-explained-a-beginners-guide-to-evaluating-classification-models-b4ff9caa310e?source=rss-87ba36ad84bc------2">Continue reading on Data Science Collective »</a></p></div>]]></description>
            <link>https://medium.com/data-science-collective/roc-auc-explained-a-beginners-guide-to-evaluating-classification-models-b4ff9caa310e?source=rss-87ba36ad84bc------2</link>
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            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[python]]></category>
            <category><![CDATA[classification]]></category>
            <category><![CDATA[beginner]]></category>
            <category><![CDATA[data-science]]></category>
            <dc:creator><![CDATA[Nikhil Dasari]]></dc:creator>
            <pubDate>Wed, 17 Sep 2025 12:30:48 GMT</pubDate>
            <atom:updated>2025-11-24T11:05:10.922Z</atom:updated>
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