<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/trust-in-ml-models-slides-from-twiml-ai-emea-meetup-ix-articles/"></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/2018/12/trust_in_ml_slides_ix/"> Shirin's playgRound</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>Here you find my slides from last nights <a rel="nofollow" href="https://twimlai.com/meetup/" target="_blank">TWiML &amp; AI EMEA Meetup about <strong>Trust in ML models</strong></a>, where I presented the <a rel="nofollow" href="https://homes.cs.washington.edu/~marcotcr/aaai18.pdf" target="_blank">Anchors paper by Carlos Guestrin et al.</a>.</p>
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<p>I have also just written two articles for the German IT magazin <strong>iX</strong> about the same topic of <strong>Explaining Black-Box Machine Learning Models</strong>:</p>
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<p><a rel="nofollow" href="https://shop.heise.de/katalog/ix-12-2018" target="_blank">A short article in the <strong>iX 12/2018</strong></a></p>
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<p><a rel="nofollow" href="https://shop.heise.de/katalog/blick-in-die-blackbox" target="_blank">The full article in <strong>iX Developer Machine Learning</strong></a></p>
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<p>You can find the code for reproducing all plots in the blogposts here:</p>
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<li><a rel="nofollow" href="https://shirinsplayground.netlify.com/2018/07/explaining_ml_models_code_caret_iml/" target="_blank">Explaining Black-Box Machine Learning Models – Code Part 1: tabular data + caret + iml</a></li>
<li><a rel="nofollow" href="https://shirinsplayground.netlify.com/2018/07/explaining_ml_models_code_text_lime/" target="_blank">Explaining Black-Box Machine Learning Models – Code Part 2: Text classification with LIME</a></li>
<li><a rel="nofollow" href="https://shirinsplayground.netlify.com/2018/06/keras_fruits_lime/" target="_blank">Explaining Black-Box Machine Learning Models – Code Part 3: Keras image classification models with LIME</a></li>
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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/2018/12/trust_in_ml_slides_ix/"> Shirin's playgRound</a></strong>.</div>
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