Jake VanderPlas

Publication Activity (10 Years)

Years Active: 2011-2019
Publications (10 Years): 4

Top Topics

Minimum Spanning Trees

Top Venues

J. Open Source Softw.

Proc. VLDB Endow.

Publications

Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, C. J. Carey, Ilhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, SciPy 1. 0 Contributors
SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python. CoRR (2019)
David P. Fleming, Jake VanderPlas
approxposterior: Approximate Posterior Distributions in Python. J. Open Source Softw. 3 (29) (2018)
Daniela Huppenkothen, Anthony Arendt, David W. Hogg, Karthik Ram, Jake VanderPlas, Ariel Rokem
Hack Weeks as a model for Data Science Education and Collaboration. CoRR (2017)
Jake VanderPlas
mst_clustering: Clustering via Euclidean Minimum Spanning Trees. J. Open Source Softw. 1 (1) (2016)
Jake VanderPlas
Frequentism and Bayesianism: A Python-driven Primer. SciPy (2014)
Lars Buitinck, Gilles Louppe, Mathieu Blondel, Fabian Pedregosa, Andreas Mueller, Olivier Grisel, Vlad Niculae, Peter Prettenhofer, Alexandre Gramfort, Jaques Grobler, Robert Layton, Jake VanderPlas, Arnaud Joly, Brian Holt, Gaël Varoquaux
API design for machine learning software: experiences from the scikit-learn project. CoRR (2013)
Matthew I. Moyers, Emad Soroush, Spencer Wallace, K. Simon Krughoff, Jake VanderPlas, Magdalena Balazinska, Andrew J. Connolly
A Demonstration of Iterative Parallel Array Processing in Support of Telescope Image Analysis. Proc. VLDB Endow. 6 (12) (2013)
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake VanderPlas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Edouard Duchesnay
Scikit-learn: Machine Learning in Python CoRR (2012)
Liang Xiong, Barnabás Póczos, Jeff G. Schneider, Andrew J. Connolly, Jake VanderPlas
Hierarchical Probabilistic Models for Group Anomaly Detection. AISTATS (2011)
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake VanderPlas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Edouard Duchesnay
Scikit-learn: Machine Learning in Python. J. Mach. Learn. Res. 12 (2011)