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    <title>Wilhelm Fritsche</title>
    <description>Wilhelm Data Scientist</description>
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        <title>Is your company ready for AI?</title>
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          Five Predictions for 2020–2021 - 
          In data science, one part of our job is to make predictions preferably based on data. There’s this interesting website called gjopen.com (gj: good judgment). There, you can make predictions of future events. Their advice is that if you want to become a good forecaster, you should predict the future...
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        <pubDate>Wed, 06 Nov 2019 00:00:00 -0800</pubDate>
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        <title>Deep learning for tabular data?</title>
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          In spite of all the hype about deep learning, in my experience over 95% of the time we must deal with plain and simple csv files – in other words, tabular data. So the question for me is, Can we use deep learning for tabular data? In order to answer...
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        <pubDate>Sun, 04 Aug 2019 00:00:00 -0700</pubDate>
        <link>https://submitcode.github.io/2019-08-04-deep-learning-for-tabular-data/</link>
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        <title>Real-World AI for Finding Horse Poo!</title>
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          My wife has a very time-consuming hobby. She has three horses. Fabiola, Herkules and Sophie. As a good husband, I, of course, help her wherever I can, but with my data science background, I’m limited in the things I can do. For instance, I cannot fix the horse panels or...
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        <pubDate>Sun, 07 Apr 2019 00:00:00 -0700</pubDate>
        <link>https://submitcode.github.io/2019-04-07-Real-World_AI_for_Finding_Horse_Poo/</link>
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        <title>Data Science – A Money Making Machine?</title>
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          Imagine you are sitting at home and a piece of software is running somewhere on a cloud that makes money for you – 24 hours a day, 7 days a week, always at full capacity and never sick. The idea is appealing. Is something like this possible? In the media,...
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        <pubDate>Wed, 14 Feb 2018 00:00:00 -0800</pubDate>
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