<p><div><div><div><div data-show-faces="false" data-height="21" data-width="100" data-layout="button_count" data-send="true" data-href="https://www.r-bloggers.com/sketchnotes-from-twimlai-121-reproducibility-and-the-philosophy-of-data-with-clare-gollnick/"></div></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="https://shirinsplayground.netlify.com/2018/04/twimlai121/"> Shirin's playgRound</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>These are my sketchnotes for Sam Charrington’s podcast <strong>This Week in Machine Learning and AI</strong> about <em>Reproducibility and the Philosophy of Data with Clare Gollnick</em>:</p>
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<img alt="Sketchnotes from TWiMLAI talk #121: Reproducibility and the Philosophy of Data with Clare Gollnick" src="https://i2.wp.com/shiring.github.io/netlify_images/twimlai121.jpg?w=456&ssl=1" data-recalc-dims="1">
<p>Sketchnotes from TWiMLAI talk #121: Reproducibility and the Philosophy of Data with Clare Gollnick</p>
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<p>You can listen to the podcast <a rel="nofollow" href="https://twimlai.com/twiml-talk-121-reproducibility-philosophy-data-clare-gollnick/" target="_blank">here</a>.</p>
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<p>In this episode, i’m joined by Clare Gollnick, CTO of Terbium Labs, to discuss her thoughts on the “reproducibility crisis” currently haunting the scientific landscape. For a little background, a “Nature” survey in 2016 showed that more than 70% of researchers have tried and failed to reproduce another scientist’s experiments, and more than half have failed to reproduce their own experiments. Clare gives us her take on the situation, and how it applies to data science, along with some great nuggets about the philosophy of data and a few interesting use cases as well. We also cover her thoughts on Bayesian vs Frequentist techniques and while we’re at it, the Vim vs Emacs debate. No, actually I’m just kidding on that last one. But this was indeed a very fun conversation that I think you’ll enjoy! <a rel="nofollow" href="https://twimlai.com/twiml-talk-121-reproducibility-philosophy-data-clare-gollnick/" target="_blank">https://twimlai.com/twiml-talk-121-reproducibility-philosophy-data-clare-gollnick/</a></p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="https://shirinsplayground.netlify.com/2018/04/twimlai121/"> Shirin's playgRound</a></strong>.</div>
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