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    <title>Linear Algebra Concepts for Data Science and Machine Learning</title>
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    <description>This blog explains the mathematics and theory behind key classical machine learning algorithms: Linear Regression, Logistic Regression, k-NN, Naive Bayes, and Decision Trees.</description>
    <pubDate>Wed, 28 Aug 2019 00:00:00 GMT</pubDate>
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    <title>Theory Behind Some classical Machine Learning Algorithms</title>
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    <description>This blog is a follow-up to a presentation I gave at Outbox Hub, Its self-contained  and explains the mathematics and theory behind key classical machine learning algorithms.</description>
    <pubDate>Tue, 06 Aug 2019 00:00:00 GMT</pubDate>
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    <title>Designing, Running and Analyzing A/B Testing Experiments</title>
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    <pubDate>Mon, 20 Dec 2021 00:00:00 GMT</pubDate>
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    <category>Statistics</category><category>Product Analytics</category>
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    <title>A Sample of Probability Distributions and Their Properties</title>
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    <pubDate>Fri, 15 May 2020 00:00:00 GMT</pubDate>
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    <title>Understanding and Quantifying Uncertainties Related to Random Events</title>
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    <description>TDA.</description>
    <pubDate>Tue, 17 Dec 2019 00:00:00 GMT</pubDate>
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