Understanding Scipy 2013 Keynote Trends In Machine Learning And The Scipy Community
Exploring Scipy 2013 Keynote Trends In Machine Learning And The Scipy Community reveals several interesting facts. Presenter: Olivier Grisel Track:
Key Takeaways about Scipy 2013 Keynote Trends In Machine Learning And The Scipy Community
- Presenter: William Schroeder, Kitware Track:
- Authors: Cordoba, Carlos, The Spyder Project Track: Reproducible Science The enormous progress made by the IPython project ...
- Authors: Granger, Brian, Cal Poly San Luis Obispo Track: General Everyone knows that in software, features are good and bugs ...
- The annual
- Series of lightening talks.
Detailed Analysis of Scipy 2013 Keynote Trends In Machine Learning And The Scipy Community
Authors: Kastner, Kyle, Southwest Research Institute Track: Presenter: Fernando Perez IPython began its life as a personal "afternoon hack", but almost 12 years later it has become a large ... Authors: Eric Neuman Track:
Accurate cell tracking is essential to various biological studies. In this talk, we present Ultrack, a novel Python package for cell ...
Stay tuned for more updates related to Scipy 2013 Keynote Trends In Machine Learning And The Scipy Community.