Philipp Burckhardt

Philipp Burckhardt
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Philipp Burckhardt

Carnegie Mellon University

Philipp Burckhardt is a PhD Student in the joint Statistics & Public Policy program of the Department of Statistics and the Heinz College at Carnegie Mellon University. He holds a Master’s degree in Applied Statistics from the University of Oxford and a Bachelor’s degree in Economics from Humboldt-University. Some of his interests are the development of statistical methods for analyzing unstructured textual data, specifically from the health-care domain, and to develop platform-independent and browser-enabled statistical tools, to aid decision-making and make it easier to turn insights into action. For his dissertation, he is working on an e-learning platform for statistics education built on state-of-the-art web technologies (http://isledocs.com/). Together with Athan Reines, he is engaged in the development of a standard library for JavaScript (https://github.com/stdlib-js/stdlib). He has spoken at various international conferences on topics ranging from political science, health-care informatics to machine learning and software engineering.

This Speaker originates from the archive of Dieser Speaker stammt aus dem Archiv von MunichMünchen, MunichMünchen and  und LondonLondon . Take me to the program of . Hier geht es zum aktuellen Programm von Munich München .

This Speaker originates from the archive of Dieser Speaker stammt aus dem Archiv von MunichMünchen, MunichMünchen and  und LondonLondon . Take me to the program of . Hier geht es zum aktuellen Programm von London London .

This Speaker originates from the archive of Dieser Speaker stammt aus dem Archiv von MunichMünchen, MunichMünchen and  und LondonLondon . Take me to the program of . Hier geht es zum aktuellen Programm von New York New York .

This Speaker Dieser Speaker originates from the archive of stammt aus dem Archiv von MunichMünchen, MunichMünchen and  und LondonLondon . Take me to the current program of . Hier geht es zum aktuellen Programm von Munich München , London London or oder New York New York .

All talks by Philipp Burckhardt

No current talks available.

All talks by Philipp Burckhardt from other editions

München 2018 Munich 2018 -

Analyzing Large Datasets with JavaScript and Node.js



München 2018 Munich 2018 -

First Words – How to get rid of a thousand Apps and regain your Voice



London 2018 London 2018 -

Introduction to stdlib-js



London 2018 London 2018 -

The JavaScript & Node.js Data Science Survival Kit



München 2017 Munich 2017 -

Exploratory Data Analysis with JavaScript



München 2017 Munich 2017 -

Best Practices for Writing JS Libraries



All talks by Philipp Burckhardt

No current talks available.

All talks by Philipp Burckhardt from other editions

München 2018 Munich 2018 -

Analyzing Large Datasets with JavaScript and Node.js



München 2018 Munich 2018 -

First Words – How to get rid of a thousand Apps and regain your Voice



London 2018 London 2018 -

Introduction to stdlib-js



London 2018 London 2018 -

The JavaScript & Node.js Data Science Survival Kit



München 2017 Munich 2017 -

Exploratory Data Analysis with JavaScript



München 2017 Munich 2017 -

Best Practices for Writing JS Libraries



All talks by Philipp Burckhardt

No current talks available.

All talks by Philipp Burckhardt from other editions

München 2018 Munich 2018 -

Analyzing Large Datasets with JavaScript and Node.js



München 2018 Munich 2018 -

First Words – How to get rid of a thousand Apps and regain your Voice



London 2018 London 2018 -

Introduction to stdlib-js



London 2018 London 2018 -

The JavaScript & Node.js Data Science Survival Kit



München 2017 Munich 2017 -

Exploratory Data Analysis with JavaScript



München 2017 Munich 2017 -

Best Practices for Writing JS Libraries



All talks by Philipp Burckhardt

No current talks available.

All talks by Philipp Burckhardt from other editions

München 2018 Munich 2018 -

Analyzing Large Datasets with JavaScript and Node.js



München 2018 Munich 2018 -

First Words – How to get rid of a thousand Apps and regain your Voice



London 2018 London 2018 -

Introduction to stdlib-js



London 2018 London 2018 -

The JavaScript & Node.js Data Science Survival Kit



München 2017 Munich 2017 -

Exploratory Data Analysis with JavaScript



München 2017 Munich 2017 -

Best Practices for Writing JS Libraries



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