Brian Lucena, Senior Data Scientist, Metis at MLconf SF 2016
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· Brian Lucena, Senior Data Scientist, Metis at MLconf SF Interpreting Black-Box Models with Applications to Healthcare Brian Lucena 2. In The Beginning… 3. Variables had Clear Interpretations • Relationships were Linear • Features were Interpretable • Interactions were ignored (or manually added) • Predictive Performance was OK ...
Electronic medical record-based multicondition models to ...
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by R Amarasingham · · Cited by 77 — Ruben Amarasingham, Bin Xie, Christopher Clark, Ying Ma & Brian Lucena. Division of General Internal Medicine, Department of Internal ... › ar...
Electronic medical record-based multicondition models to predict the...
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Background There is increasing interest in using prediction models to identify patients at risk of readmission or death after hospital discharge, but existing...
Brian Lucena - Interpreting Black-Box Models with ...
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ODSC East Talks to Expand and Apply R Skills | R-bloggerswww.r-bloggers.com › R bloggers
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Apr 19, · In “Explaining XGBoost Models – Tools and Methods” with Brian Lucena, PhD, Consulting Data Scientist at Agentero you will work hands-on ...
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A New Lower Bound for Tree-Width Using ProQuest
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by B Lucena · · Cited by 32 — BRIAN LUCENA. Abstract. The tree-width of a graph is of great importance in applied problems in graphical models. The complexity of inference problems on ... › openview
Electronic medical record-based multicondition models to ...
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by R Amarasingham · · Cited by 77 — Ferdinand Velasco, Bin Xie, Christopher Clark, Ying Ma, Song Zhang, Deepa Bhat, Brian Lucena, Marco Huesch, and Ethan A. Halm ... › article › pmc › pmc
Brian Lucena - The Machine Learning Conference
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Brian Lucena is currently a Senior Data Scientist at Metis, where he teaches data science bootcamps and conducts corporate training. He previously was the Senior VP of Analytics at PCCI where he led a team of data scientists building real-time predictive models for clinical decision support. Before that he was Chief Mathematician at Guardian Analytics, […]
Brian Lucena - Interpreting Black-Box Models with Applications to...
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Presentation slides: http://www.slideshare.net/SessionsEvents/brian-lucena-senior-data-scientist-metis-at-mlconf-sf Interpreting Black-Box Models with...
Interpreting Black-Box Models with Applications to Healthcare. Brian ...docplayer.net › Interpreting-black-box-mo...
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Interpreting Black-Box Models with Applications to Healthcare Brian Lucena In The Beginning Variables had Clear Interpretations Relationships were Linear ...
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Oct 26, · Explaining and Interpreting Gradient Boosting Models in Machine Learning with Brian Lucena, PhD Consulting Data Scientist at Agentero.
Advanced Methods for Explaining XGBoost Models | Open Data ...odsc.com › speakers › advanced-methods-for-explaining-xgboost-models
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Brian Lucena is Principal at Lucena Consulting and a consulting Data Scientist at Agentero. An applied mathematician in every sense, he is passionate about ...
Electronic medical record-based multicondition models to ...pennstate.pure.elsevier.com › publications › electronic-...
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Ruben Amarasingham, Ferdinand Velasco, Bin Xie, Christopher Clark, Ying Ma, Song Zhang, Deepa Bhat, Brian Lucena, Marco Huesch, ...
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