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#inference

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Eric Maugendre<p>"In real life, we weigh the anticipated consequences of the decisions that we are about to make. That approach is much more rational than limiting the percentage of making the error of one kind in an artificial (null hypothesis) setting or using a measure of evidence for each model as the weight."<br>Longford (2005) <a href="http://www.stat.columbia.edu/~gelman/stuff_for_blog/longford.pdf" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://www.</span><span class="ellipsis">stat.columbia.edu/~gelman/stuf</span><span class="invisible">f_for_blog/longford.pdf</span></a></p><p><a href="https://hachyderm.io/tags/modeling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modeling</span></a> <a href="https://hachyderm.io/tags/nullHypothesis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nullHypothesis</span></a> <a href="https://hachyderm.io/tags/probability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>probability</span></a> <a href="https://hachyderm.io/tags/probabilities" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>probabilities</span></a> <a href="https://hachyderm.io/tags/pValues" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pValues</span></a> <a href="https://hachyderm.io/tags/statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statistics</span></a> <a href="https://hachyderm.io/tags/stats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stats</span></a> <a href="https://hachyderm.io/tags/statisticalLiteracy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statisticalLiteracy</span></a> <a href="https://hachyderm.io/tags/bias" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bias</span></a> <a href="https://hachyderm.io/tags/inference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>inference</span></a> <a href="https://hachyderm.io/tags/modelling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modelling</span></a> <a href="https://hachyderm.io/tags/regression" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>regression</span></a> <a href="https://hachyderm.io/tags/linearRegression" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>linearRegression</span></a></p>
Eric Maugendre<p>Feature Selection in Python; a script ready to use: <a href="https://johfischer.com/2021/08/06/correlation-based-feature-selection-in-python-from-scratch/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">johfischer.com/2021/08/06/corr</span><span class="invisible">elation-based-feature-selection-in-python-from-scratch/</span></a></p><p><a href="https://hachyderm.io/tags/interpretability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>interpretability</span></a> <a href="https://hachyderm.io/tags/featureSelection" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>featureSelection</span></a> <a href="https://hachyderm.io/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://hachyderm.io/tags/probability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>probability</span></a> <a href="https://hachyderm.io/tags/probabilities" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>probabilities</span></a> <a href="https://hachyderm.io/tags/bigData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bigData</span></a> <a href="https://hachyderm.io/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classification</span></a> <a href="https://hachyderm.io/tags/linearRegression" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>linearRegression</span></a> <a href="https://hachyderm.io/tags/regression" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>regression</span></a> <a href="https://hachyderm.io/tags/Schusterbauer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Schusterbauer</span></a> <a href="https://hachyderm.io/tags/inference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>inference</span></a> <a href="https://hachyderm.io/tags/AIDev" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIDev</span></a></p>
Judith van Stegeren<p>Many companies are currently scrambling for ML infra engineers. They need people that know how to manage AI infrastructure, and that can seriously speed up training and inference with specialized tooling like vLLM, Triton, TensorRT, Torchtune, etc.</p><p><a href="https://fosstodon.org/tags/inference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>inference</span></a> <a href="https://fosstodon.org/tags/training" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>training</span></a> <a href="https://fosstodon.org/tags/genai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>genai</span></a> <a href="https://fosstodon.org/tags/triton" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>triton</span></a> <a href="https://fosstodon.org/tags/vllm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vllm</span></a> <a href="https://fosstodon.org/tags/pytorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pytorch</span></a> <a href="https://fosstodon.org/tags/torchtune" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>torchtune</span></a> <a href="https://fosstodon.org/tags/tensorrt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tensorrt</span></a> <a href="https://fosstodon.org/tags/nvidia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nvidia</span></a></p>
Eric Maugendre<p>"Extract Year from a datetime column", by Piyush Raj: <a href="https://datascienceparichay.com/article/pandas-extract-year-from-datetime-column/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">datascienceparichay.com/articl</span><span class="invisible">e/pandas-extract-year-from-datetime-column/</span></a></p><p><a href="https://hachyderm.io/tags/dataDev" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataDev</span></a> <a href="https://hachyderm.io/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> <a href="https://hachyderm.io/tags/Pandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Pandas</span></a> <a href="https://hachyderm.io/tags/timeSeries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>timeSeries</span></a> <a href="https://hachyderm.io/tags/data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>data</span></a> <a href="https://hachyderm.io/tags/inference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>inference</span></a> <a href="https://hachyderm.io/tags/dataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataAnalysis</span></a> <a href="https://hachyderm.io/tags/statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statistics</span></a> <a href="https://hachyderm.io/tags/stats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stats</span></a></p>
Eric Maugendre<p>An easy guide to predict possible future quantities, by Mercy Kibet: <a href="https://www.influxdata.com/blog/guide-regression-analysis-time-series-data/#heading0" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">influxdata.com/blog/guide-regr</span><span class="invisible">ession-analysis-time-series-data/#heading0</span></a></p><p><a href="https://hachyderm.io/tags/timeSeries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>timeSeries</span></a> <a href="https://hachyderm.io/tags/data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>data</span></a> <a href="https://hachyderm.io/tags/inference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>inference</span></a> <a href="https://hachyderm.io/tags/linearRegression" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>linearRegression</span></a> <a href="https://hachyderm.io/tags/dataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataScience</span></a> <a href="https://hachyderm.io/tags/futures" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>futures</span></a> <a href="https://hachyderm.io/tags/money" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>money</span></a> <a href="https://hachyderm.io/tags/trends" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>trends</span></a> <a href="https://hachyderm.io/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a></p>
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