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    <loc>https://www.swebb.io/blog</loc>
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    <lastmod>2025-12-07</lastmod>
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    <loc>https://www.swebb.io/blog/when-nobody-picks-up</loc>
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    <lastmod>2024-07-25</lastmod>
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      <image:title>Blog - When Nobody Picks Up… - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/20752975-498d-4d68-8e7c-0a7beece3b10/Bayes_polling.jpg</image:loc>
      <image:title>Blog - When Nobody Picks Up… - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
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  <url>
    <loc>https://www.swebb.io/blog/the-measure-of-a-metric</loc>
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    <lastmod>2024-05-20</lastmod>
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      <image:title>Blog - The Measure of a Metric - Make it stand out</image:title>
      <image:caption>Data Scientists excited to start building models firing up SQL queries.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/cb064cfe-a76a-4094-bccd-d999805d71a4/churn.jpg</image:loc>
      <image:title>Blog - The Measure of a Metric - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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  <url>
    <loc>https://www.swebb.io/blog/after-viral</loc>
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    <lastmod>2024-05-07</lastmod>
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      <image:title>Blog - After Viral - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/d6552c97-acab-4752-b8fb-1eae15333aa0/dailyrevenue.jpg</image:loc>
      <image:title>Blog - After Viral - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/d7a7a6c2-6361-4bd1-b6ab-62d3af59e879/foottraffic.jpg</image:loc>
      <image:title>Blog - After Viral - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/76f394a8-1078-48a2-8a48-29d113281abd/goneviral.jpg</image:loc>
      <image:title>Blog - After Viral - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.swebb.io/blog/interpreting-the-categorical-cross-entropy-loss-function</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2024-05-09</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/48af12f7-8fcb-4a4b-b4e4-8786f09d5410/categorical_crossentropy.png</image:loc>
      <image:title>Blog - Interpreting the Categorical Cross-Entropy Loss Function - Make it stand out</image:title>
      <image:caption>The categorical cross-entropy loss function, which I called S instead of L because I’m a physicist and it’s entropy.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/3cd133bc-8ebd-44b3-8904-5cb3196c775f/entropy.png</image:loc>
      <image:title>Blog - Interpreting the Categorical Cross-Entropy Loss Function - Make it stand out</image:title>
      <image:caption>per-data-point categorical cross-entropy for even distribution across $n$ categories.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.swebb.io/blog/this-is-how-the-world-ends</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2023-06-22</lastmod>
  </url>
  <url>
    <loc>https://www.swebb.io/blog/the-five-stages-of-a-data-science-project</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2022-04-14</lastmod>
  </url>
  <url>
    <loc>https://www.swebb.io/blog/a-head-for-the-polls</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2021-06-14</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1622759991833-WSZ9T3QFS6HBP3KX8ECJ/training_three.png</image:loc>
      <image:title>Blog - A head for the polls - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1622760803696-S527CC4A1NG4SSS7QPE2/senate_full_predictions.png</image:loc>
      <image:title>Blog - A head for the polls - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1622759828739-91LUQT8HJNY3ZR8APQLF/training_one.png</image:loc>
      <image:title>Blog - A head for the polls - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1622764235641-NUGXOECWELZ2R2JV9CV6/election_results.png</image:loc>
      <image:title>Blog - A head for the polls - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1622680077303-8FMYYCCCURJCRCRG67NB/votes_vs_regs.png</image:loc>
      <image:title>Blog - A head for the polls - Make it stand out</image:title>
      <image:caption>Yep, that’s a trend</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1622759918670-3ZGXA6WNOMDAFUEE2NFI/training_two.png</image:loc>
      <image:title>Blog - A head for the polls - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.swebb.io/blog/stumbling-through-markov-chains</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2021-03-21</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1616270243871-SPSIM2H5RJDSJTK1KZ6Q/random_walk.png</image:loc>
      <image:title>Blog - Stumbling Through Markov Chains</image:title>
      <image:caption>Evolution of the distribution from initially starting on the left sidewalk. Dashed lines indicate the equilibrium probability.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.swebb.io/blog/bayesian-basics</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2021-02-02</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1611969837749-PFD449DCCXBFYJA56Q9M/Bayes_chart.png</image:loc>
      <image:title>Blog - Bayesian Basics</image:title>
      <image:caption>The branching logic of computing conditional probability</image:caption>
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  </url>
  <url>
    <loc>https://www.swebb.io/blog/sommelier-numrique</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2021-02-02</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1611444808043-ZYC9YLO5FZNQMOW9IW03/gram_dist.png</image:loc>
      <image:title>Blog - Sommelier numérique</image:title>
      <image:caption>The distribution of lengths of wine vectors computed by the total number of words in the vector.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1611524581546-EYQRBU04NP5G6KVRYPY3/r_matrix.png</image:loc>
      <image:title>Blog - Sommelier numérique</image:title>
      <image:caption>Coverage of dot products for a subset of wines — each row and column is a wine, black shows a non-zero dot product between the wine vectors, white shows a zero dot product.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.swebb.io/blog/understanding-multi-armed-bandits</loc>
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    <priority>0.5</priority>
    <lastmod>2021-02-02</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1609713598882-HQ7CBG1MVZFYAZ1IXYJL/dropping_payrates.png</image:loc>
      <image:title>Blog - Solving Multi-Armed Bandits</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1609782414458-3EDBWFWQ735JM8RQBHXU/payout_random_dropping_eps.png</image:loc>
      <image:title>Blog - Solving Multi-Armed Bandits</image:title>
      <image:caption>$\varepsilon$-greedy wins the day</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1609713475604-OZJ1E22YLMQIN7JI9JL6/payout_random_dropping.png</image:loc>
      <image:title>Blog - Solving Multi-Armed Bandits</image:title>
      <image:caption>Total payout comparison of dropping versus random selection</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1609711106857-0B927KLWMRRKU4UJP4SD/random_payrates.png</image:loc>
      <image:title>Blog - Solving Multi-Armed Bandits</image:title>
      <image:caption>Payout and uncertainty for our ten bandit example</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1609710970678-GJ0QH1CM5Z0LWJTJSTXH/payout_random.png</image:loc>
      <image:title>Blog - Solving Multi-Armed Bandits</image:title>
      <image:caption>Total payout with each pull for the random approach, plotted against the expected payout taken by averaging all the bandit payouts</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1609716344725-9SSY4H3C8X24LY6KSJQV/greedy_payrates.png</image:loc>
      <image:title>Blog - Solving Multi-Armed Bandits</image:title>
      <image:caption>Computed pay rates using the $\varepsilon$-greedy strategy</image:caption>
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  </url>
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    <loc>https://www.swebb.io/blog/a-machine-learning-quicky-why-use-l2-regularization</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2021-02-02</lastmod>
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    <loc>https://www.swebb.io/blog/modeling-the-market</loc>
    <changefreq>monthly</changefreq>
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    <lastmod>2021-02-02</lastmod>
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      <image:title>Blog - Modeling the Market</image:title>
      <image:caption>The normalized performance of the S&amp;P 500.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1603665675523-YDLC6Q70S6HBYON83V3N/exp_fit_annotated.png</image:loc>
      <image:title>Blog - Modeling the Market</image:title>
      <image:caption>Fitting an exponential line to the logarithmic data.</image:caption>
    </image:image>
    <image:image>
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      <image:title>Blog - Modeling the Market</image:title>
      <image:caption>Normalized distribution (blue) and CDF (red)</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1607891425147-NCNWJV883X8VGDOYWZYR/monte_carlo.png</image:loc>
      <image:title>Blog - Modeling the Market</image:title>
      <image:caption>The many Monte Carlo simulations of our Markov Chain model</image:caption>
    </image:image>
    <image:image>
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      <image:title>Blog - Modeling the Market</image:title>
      <image:caption>Comparison of a gaussian and exponential fit to the distribution.</image:caption>
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    <image:image>
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      <image:title>Blog - Modeling the Market</image:title>
      <image:caption>Historical S&amp;P 500 data, viz’d.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1604193045655-S5P0UPMHCIQVXSCV6BEF/time_correlation_percent_growth.png</image:loc>
      <image:title>Blog - Modeling the Market</image:title>
      <image:caption>2D histogram of percent changes today versus tomorrow for the data, which is not completely uncorrelated. The correlations day-to-day are small, but not unimportant.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1604633425844-LL2W57DRG0TIMYV1I5J9/loglog_annotated.png</image:loc>
      <image:title>Blog - Modeling the Market</image:title>
      <image:caption>A semilog plot, where the big tick markets represent a ten-fold increase.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1607891818244-F48MXOEESP43QIFRILH2/mc_dist.png</image:loc>
      <image:title>Blog - Modeling the Market</image:title>
      <image:caption>Distribution of outcomes from our Markov Chain model</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f78cfd6b9a6a855a40d526f/1607891399014-ANMN156ZBPG1XCXQIA94/single_run.png</image:loc>
      <image:title>Blog - Modeling the Market</image:title>
      <image:caption>Example of relative performance to the trend line</image:caption>
    </image:image>
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    <loc>https://www.swebb.io/blog/programming-python-peak-performance</loc>
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    <lastmod>2021-02-02</lastmod>
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    <loc>https://www.swebb.io/blog/tag/numba</loc>
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