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      <image:title>Books - Humans Matter Most</image:title>
      <image:caption>Humans Matter Most is a comprehensive book detailing the trends and forces of the 21st century and how to respond to them. Though it is still a work in progress, you can access a free sample of it below.</image:caption>
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      <image:caption>Nukes to Negotiations is controversial, at least in the West, because it rests on a fundamental contrarian assumption: That Kim Jong-un and the people who make up his regime are not evil, cartoonish supervillains. Instead, they are full human beings with the same types of complex thoughts, feelings, and motivations that we have, just set within a context of very different life experiences and circumstances.</image:caption>
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      <image:title>Merch - Humans Matter Most T-Shirt</image:title>
      <image:caption>This unisex classic t-shirt is perfect for anyone who believes that humans matter most!</image:caption>
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      <image:caption>Ad Meliora, our Latin motto, means towards better things, because that’s what happens when future-builders get empowered!</image:caption>
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      <image:title>Customer Survey Analysis - We take raw data…</image:title>
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      <image:title>Program Evaluation - We take raw data…</image:title>
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      <image:title>Open-Ended Text Analysis - We take raw data…</image:title>
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      <image:title>Data Labeling - We Send Your Labeled CSV Back</image:title>
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      <image:title>Data Labeling - Pay $0.35 per piece of data.*</image:title>
      <image:caption>*Prices may be higher for data that requires time-intensive tasks such as viewing lengthy videos or reading full news articles.</image:caption>
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      <image:title>Data Labeling - Enjoy our project specification concierge service.</image:title>
      <image:caption>Work directly with a project manager who will make sure to fully understand your project requirements and goals on a holistic level. Then sit back and relax while we deploy our rigorous in-house worker training and quality control systems.</image:caption>
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      <image:title>Why Data Scientists Suck at Analyzing Your Textual Customer Data</image:title>
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    <lastmod>2020-04-28</lastmod>
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      <image:title>Team - Deepa Singh</image:title>
      <image:caption>-Chief Ethics Officer &amp; Co-founder Deepa holds an M.A. in Philosophy from Delhi University, a B.A. Honours in Philosophy from Lady Shri Ram College for Women, and is currently a research fellow working on her PhD dissertation at the University of Delhi focused on the intersection of philosophy, ethics, and governance in AI. She is featured in the Lighthouse3 directory of Brilliant Women Working on AI Ethics. She enjoys working beyond silos and is passionate about justice by design. Connect with Deepa on LinkedIn.</image:caption>
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      <image:title>Team - Terrence Scott</image:title>
      <image:caption>-Chief Technology Officer &amp; Co-founder Terrence holds a B.S. in Information Technology with an Advanced Software Developer Certificate from the University of Phoenix and is a graduate of the Facebook Cybersecurity University for Veterans. Though he already has a strong background in software development and cybersecurity, he is continuing to expand his skillset by attending Lambda School for data science. Connect with Terrence on LinkedIn.</image:caption>
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      <image:title>Team - Katie Evanko-Douglas</image:title>
      <image:caption>-Chief Executive Officer &amp; Co-founder Katie holds a B.A. in International Relations and Political Science from the University of Nebraska-Lincoln, though she’s spent most of her career in survey research including 4 years at Gallup and 3 years at the University of Nebraska-Lincoln Bureau of Sociological Research. She’s now expanding on that knowledge base by attending Lambda School for data science. Learn more about Katie.</image:caption>
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    <lastmod>2020-05-01</lastmod>
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      <image:title>Russian Troll Retweets</image:title>
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      <image:title>Russian Troll Retweets</image:title>
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    <lastmod>2020-11-19</lastmod>
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      <image:title>Insufficient Signal</image:title>
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      <image:title>Insufficient Signal</image:title>
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    <image:image>
      <image:loc>https://static1.squarespace.com/static/5c897a17348cd92c2f860da5/t/5fb6982c8dd3b32683bd407d/1605802036164/Screen+Shot+2020-11-19+at+9.02.09+AM.png</image:loc>
      <image:title>Insufficient Signal</image:title>
    </image:image>
    <image:image>
      <image:loc>https://static1.squarespace.com/static/5c897a17348cd92c2f860da5/t/5fb69cd43b6abb2d402019fd/1605803227977/Screen+Shot+2020-11-19+at+9.26.38+AM.png</image:loc>
      <image:title>Insufficient Signal</image:title>
    </image:image>
    <image:image>
      <image:loc>https://static1.squarespace.com/static/5c897a17348cd92c2f860da5/t/5fb69ce7ea180567bc78314b/1605803246028/Screen+Shot+2020-11-19+at+9.26.32+AM.png</image:loc>
      <image:title>Insufficient Signal</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.ameliormate.com/managing-toxic-masculinity</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
    <lastmod>2020-12-01</lastmod>
  </url>
  <url>
    <loc>https://www.ameliormate.com/gpt3-synthetic-data</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
    <lastmod>2021-01-04</lastmod>
    <image:image>
      <image:loc>https://static1.squarespace.com/static/5c897a17348cd92c2f860da5/t/5ff2204f46517e2c74cb40ea/1609703814792/all_acc.jpg</image:loc>
      <image:title>GPT3 Synthetic Data</image:title>
      <image:caption>This chart shows the number of models that reached various levels of significance and whether they had higher or lower accuracy compared to a comparable model trained on the 5% set of real-world data. Of the models with higher accuracy, 37 were significant at the 0.001 level, 12 were significant at the 0.01 level, 10 were significant at the 0.05 level, and 23 were not significant. Of the models that had lower accuracy, 1 was significant at the 0.001 level, 1 was significant at the 0.01 level, and 6 were not significant.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://static1.squarespace.com/static/5c897a17348cd92c2f860da5/t/5ff220e20493bd28274c8a94/1609723025979/sms_pa_spam_recall_05.jpg</image:loc>
      <image:title>GPT3 Synthetic Data</image:title>
      <image:caption>This chart shows the recall scores for passive-aggressive classifier models trained on SMS data including the original dataset, 5% of the original dataset, a vanilla LSTM model, and all of the GPT-3 models. It includes significance levels marked by stars: * &lt; 0.05, ** &lt; 0.01, *** &lt; 0.001.</image:caption>
    </image:image>
  </url>
</urlset>

