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        <title><![CDATA[Engineer Quant - Medium]]></title>
        <description><![CDATA[Delve into engineering and quantitative analysis - Medium]]></description>
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            <title>Engineer Quant - Medium</title>
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            <title><![CDATA[Migration to Substack]]></title>
            <link>https://medium.com/engineer-quant/migration-to-substack-f4d270e6c97c?source=rss----183959be9f16---4</link>
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            <category><![CDATA[trading]]></category>
            <dc:creator><![CDATA[Vivek Palaniappan]]></dc:creator>
            <pubDate>Wed, 05 Jul 2023 13:28:45 GMT</pubDate>
            <atom:updated>2023-07-05T13:30:26.758Z</atom:updated>
            <content:encoded><![CDATA[<p>I am excited to announce that I have migrated this blog from Medium to Substack. Please find the all new articles and posts on Substack at <a href="https://engineerquant.substack.com/">https://engineerquant.substack.com/</a></p><p>The main reason for this is the better math-type support offered by Substack, which is important for the type of content I write and intend to write in the future. Thank you all for your support and see your on Substack!</p><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*3yvl_6QwyiXveMl4TJ5RNA.jpeg" /></figure><img src="https://medium.com/_/stat?event=post.clientViewed&referrerSource=full_rss&postId=f4d270e6c97c" width="1" height="1" alt=""><hr><p><a href="https://medium.com/engineer-quant/migration-to-substack-f4d270e6c97c">Migration to Substack</a> was originally published in <a href="https://medium.com/engineer-quant">Engineer Quant</a> on Medium, where people are continuing the conversation by highlighting and responding to this story.</p>]]></content:encoded>
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            <title><![CDATA[Inferring Stock Price Distribution from Option Quotes]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/engineer-quant/inferring-stock-price-distribution-from-option-quotes-85b2f1ed16ff?source=rss----183959be9f16---4"><img src="https://cdn-images-1.medium.com/max/852/1*VdPWcvVNmxGZPWj1QT5XfQ.png" width="852"></a></p><p class="medium-feed-snippet">Exploring going from Option Quotes to a probability distribution of the price of the underlying at expiry.</p><p class="medium-feed-link"><a href="https://medium.com/engineer-quant/inferring-stock-price-distribution-from-option-quotes-85b2f1ed16ff?source=rss----183959be9f16---4">Continue reading on Engineer Quant »</a></p></div>]]></description>
            <link>https://medium.com/engineer-quant/inferring-stock-price-distribution-from-option-quotes-85b2f1ed16ff?source=rss----183959be9f16---4</link>
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            <category><![CDATA[trading]]></category>
            <category><![CDATA[mathematics]]></category>
            <category><![CDATA[statistics]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[options-trading]]></category>
            <dc:creator><![CDATA[Vivek Palaniappan]]></dc:creator>
            <pubDate>Mon, 21 Dec 2020 00:54:51 GMT</pubDate>
            <atom:updated>2020-12-21T00:54:51.247Z</atom:updated>
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            <title><![CDATA[Classical Electromagnetism, with an exploration of Invariance]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/engineer-quant/classical-electromagnetism-with-an-exploration-of-invariance-c35f80080f08?source=rss----183959be9f16---4"><img src="https://cdn-images-1.medium.com/max/2600/1*G7fCn5j0jEH3uFJhiee0HA.jpeg" width="5120"></a></p><p class="medium-feed-snippet">Discussion of principles of classical electromagnetism with a sneak peak into invariance and field theory</p><p class="medium-feed-link"><a href="https://medium.com/engineer-quant/classical-electromagnetism-with-an-exploration-of-invariance-c35f80080f08?source=rss----183959be9f16---4">Continue reading on Engineer Quant »</a></p></div>]]></description>
            <link>https://medium.com/engineer-quant/classical-electromagnetism-with-an-exploration-of-invariance-c35f80080f08?source=rss----183959be9f16---4</link>
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            <category><![CDATA[physics]]></category>
            <category><![CDATA[quantum-mechanics]]></category>
            <category><![CDATA[electromagnetic]]></category>
            <category><![CDATA[engineering]]></category>
            <category><![CDATA[mathematics]]></category>
            <dc:creator><![CDATA[Vivek Palaniappan]]></dc:creator>
            <pubDate>Thu, 02 Apr 2020 20:15:19 GMT</pubDate>
            <atom:updated>2020-04-02T20:15:19.334Z</atom:updated>
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        <item>
            <title><![CDATA[The Asymmetric Top: Tackling Rigid Body Dynamics]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/engineer-quant/the-asymmetric-top-tackling-rigid-body-dynamics-79f833567d22?source=rss----183959be9f16---4"><img src="https://cdn-images-1.medium.com/max/600/1*F397SKaVdDa0aBi-fH38Hg.jpeg" width="600"></a></p><p class="medium-feed-snippet">How can the motion of everyday objects be more complicated than the motions of stars and atoms?</p><p class="medium-feed-link"><a href="https://medium.com/engineer-quant/the-asymmetric-top-tackling-rigid-body-dynamics-79f833567d22?source=rss----183959be9f16---4">Continue reading on Engineer Quant »</a></p></div>]]></description>
            <link>https://medium.com/engineer-quant/the-asymmetric-top-tackling-rigid-body-dynamics-79f833567d22?source=rss----183959be9f16---4</link>
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            <category><![CDATA[science]]></category>
            <category><![CDATA[physics]]></category>
            <category><![CDATA[mathematics]]></category>
            <category><![CDATA[engineering]]></category>
            <category><![CDATA[education]]></category>
            <dc:creator><![CDATA[Vivek Palaniappan]]></dc:creator>
            <pubDate>Mon, 23 Sep 2019 14:28:14 GMT</pubDate>
            <atom:updated>2019-09-23T14:28:14.786Z</atom:updated>
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        <item>
            <title><![CDATA[PCA Factors most sensitive to distributional changes]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/engineer-quant/pca-factors-most-sensitive-to-distributional-changes-36272139bd99?source=rss----183959be9f16---4"><img src="https://cdn-images-1.medium.com/max/2054/1*fpc53_cMmoeR62bSogRejQ.png" width="2054"></a></p><p class="medium-feed-snippet">This article is a summary and exploration of the research paper &#x201C;Which principal components are most sensitive to distributional changes?&#x201D;</p><p class="medium-feed-link"><a href="https://medium.com/engineer-quant/pca-factors-most-sensitive-to-distributional-changes-36272139bd99?source=rss----183959be9f16---4">Continue reading on Engineer Quant »</a></p></div>]]></description>
            <link>https://medium.com/engineer-quant/pca-factors-most-sensitive-to-distributional-changes-36272139bd99?source=rss----183959be9f16---4</link>
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            <category><![CDATA[statistics]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[research]]></category>
            <category><![CDATA[data-science]]></category>
            <dc:creator><![CDATA[Vivek Palaniappan]]></dc:creator>
            <pubDate>Thu, 06 Jun 2019 04:56:41 GMT</pubDate>
            <atom:updated>2019-06-06T04:56:41.847Z</atom:updated>
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        <item>
            <title><![CDATA[SolarSVM: How Machine Learning can help Global Warming]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/engineer-quant/solarsvm-how-machine-learning-can-help-global-warming-80a2dc4b0214?source=rss----183959be9f16---4"><img src="https://cdn-images-1.medium.com/max/1920/1*y2Cg332-61n2pQsWfamBww.jpeg" width="1920"></a></p><p class="medium-feed-snippet">Will AI and Machine Learning be the solution we have been searching for all this while?</p><p class="medium-feed-link"><a href="https://medium.com/engineer-quant/solarsvm-how-machine-learning-can-help-global-warming-80a2dc4b0214?source=rss----183959be9f16---4">Continue reading on Engineer Quant »</a></p></div>]]></description>
            <link>https://medium.com/engineer-quant/solarsvm-how-machine-learning-can-help-global-warming-80a2dc4b0214?source=rss----183959be9f16---4</link>
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            <category><![CDATA[quantitative-finance]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[mathematics]]></category>
            <category><![CDATA[global-warming]]></category>
            <category><![CDATA[machine-learning]]></category>
            <dc:creator><![CDATA[Vivek Palaniappan]]></dc:creator>
            <pubDate>Thu, 25 Apr 2019 06:15:01 GMT</pubDate>
            <atom:updated>2019-04-25T06:15:48.300Z</atom:updated>
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        <item>
            <title><![CDATA[Geodesics: Paths of Shortest Distance]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/engineer-quant/geodesics-paths-of-shortest-distance-16b8e264abf7?source=rss----183959be9f16---4"><img src="https://cdn-images-1.medium.com/max/1920/1*dGLQkKiPe8YyjN_khaTG9A.jpeg" width="1920"></a></p><p class="medium-feed-snippet">What is the shortest path between two points in a sphere? How about even more complex geometries?</p><p class="medium-feed-link"><a href="https://medium.com/engineer-quant/geodesics-paths-of-shortest-distance-16b8e264abf7?source=rss----183959be9f16---4">Continue reading on Engineer Quant »</a></p></div>]]></description>
            <link>https://medium.com/engineer-quant/geodesics-paths-of-shortest-distance-16b8e264abf7?source=rss----183959be9f16---4</link>
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            <category><![CDATA[physics]]></category>
            <category><![CDATA[mathematics]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[engineering]]></category>
            <category><![CDATA[geometry]]></category>
            <dc:creator><![CDATA[Vivek Palaniappan]]></dc:creator>
            <pubDate>Tue, 16 Apr 2019 10:59:10 GMT</pubDate>
            <atom:updated>2019-04-16T10:59:10.139Z</atom:updated>
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        <item>
            <title><![CDATA[Gram-Schmidt: Tying together matrices and functions]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/engineer-quant/gram-schmidt-tying-together-matrices-and-functions-7bafe099f17a?source=rss----183959be9f16---4"><img src="https://cdn-images-1.medium.com/max/1920/1*2cnL8qWhuCFLofWEiz_kkQ.jpeg" width="1920"></a></p><p class="medium-feed-snippet">A discussion of how two seemingly unrelated topics have an intimate connection.</p><p class="medium-feed-link"><a href="https://medium.com/engineer-quant/gram-schmidt-tying-together-matrices-and-functions-7bafe099f17a?source=rss----183959be9f16---4">Continue reading on Engineer Quant »</a></p></div>]]></description>
            <link>https://medium.com/engineer-quant/gram-schmidt-tying-together-matrices-and-functions-7bafe099f17a?source=rss----183959be9f16---4</link>
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            <category><![CDATA[engineering]]></category>
            <category><![CDATA[linear-algebra]]></category>
            <category><![CDATA[calculus]]></category>
            <category><![CDATA[mathematics]]></category>
            <category><![CDATA[machine-learning]]></category>
            <dc:creator><![CDATA[Vivek Palaniappan]]></dc:creator>
            <pubDate>Fri, 12 Apr 2019 05:13:45 GMT</pubDate>
            <atom:updated>2019-04-12T05:14:30.166Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[Black-Scholes: A Quantum Perspective]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/engineer-quant/black-scholes-a-quantum-perspective-dcb61344094a?source=rss----183959be9f16---4"><img src="https://cdn-images-1.medium.com/max/1280/1*1Y-BjE_6oJTh-dJQF1YNCQ.jpeg" width="1280"></a></p><p class="medium-feed-snippet">An investigation into how the Black-Scholes equation is actually embedded in the dynamics of quantum particles.</p><p class="medium-feed-link"><a href="https://medium.com/engineer-quant/black-scholes-a-quantum-perspective-dcb61344094a?source=rss----183959be9f16---4">Continue reading on Engineer Quant »</a></p></div>]]></description>
            <link>https://medium.com/engineer-quant/black-scholes-a-quantum-perspective-dcb61344094a?source=rss----183959be9f16---4</link>
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            <category><![CDATA[quantum-computing]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[physics]]></category>
            <category><![CDATA[mathematics]]></category>
            <category><![CDATA[quantitative-finance]]></category>
            <dc:creator><![CDATA[Vivek Palaniappan]]></dc:creator>
            <pubDate>Thu, 11 Apr 2019 10:53:25 GMT</pubDate>
            <atom:updated>2019-04-11T10:53:25.599Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[Tragedy of the Commons]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/engineer-quant/tragedy-of-the-commons-25b0348ba0b5?source=rss----183959be9f16---4"><img src="https://cdn-images-1.medium.com/max/900/1*WRcpxiXIvbsKW_axGwXlBg.gif" width="900"></a></p><p class="medium-feed-snippet">Recently, I have been reading up on game theory and how it can be applied to data science situations where multiple parties are making&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/engineer-quant/tragedy-of-the-commons-25b0348ba0b5?source=rss----183959be9f16---4">Continue reading on Engineer Quant »</a></p></div>]]></description>
            <link>https://medium.com/engineer-quant/tragedy-of-the-commons-25b0348ba0b5?source=rss----183959be9f16---4</link>
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            <category><![CDATA[economics]]></category>
            <category><![CDATA[mathematics]]></category>
            <category><![CDATA[general]]></category>
            <category><![CDATA[game-theory]]></category>
            <dc:creator><![CDATA[Vivek Palaniappan]]></dc:creator>
            <pubDate>Sat, 09 Feb 2019 06:22:02 GMT</pubDate>
            <atom:updated>2019-02-09T06:23:28.033Z</atom:updated>
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