Skip to content

Latest commit

 

History

History
38 lines (34 loc) · 4.56 KB

amsterdam2016.md

File metadata and controls

38 lines (34 loc) · 4.56 KB
Raw

PyData 2016 - Amsterdam

Keynotes

  • [First day Opening Keynote] by Sean Owen (Cloudera) -- Link to Video
  • [Second day Opening Keynote] by Peadar Coyle -- Link to Video

Talks

  • [Understanding the tech community through notebooks] by Friso van Vollenhoven (GoDataDriven) -- Link to Video
  • [Finding relations in documents with IEPY] by Daniel Moisset (Machinalis) -- Link to Video
  • [How big are your banks? Because the ones in teh U.S. are pretty big!] by David R. Pugh (Oxford Mathematical Institute) -- Link to Video
  • [Using random search for efficient hyper-parameter optimization with H2O] by Jo-fai Chow (H2O.ai) -- Link to Video
  • [Do Angry People Have Poor Grammar? An Exploration of Language Processing and Statistics in Python] by Ben Fields (Fun and Plausible Solutions) -- Link to Video
  • [Realtime Bayesian A-B testing with Spark Streaming] by Dennis Bohle and Ben Teeuwen (Booking.com) -- Link to Video
  • [CART: Not only Classification and Regression Trees] by Marc Garcia (Bank of America) -- Link to Video
  • [Data driven literary analysis: an unsupervised approach to text analysis and classification] by Serena Peruzzo -- Link to Video
  • [Running snippets of Python in the browser] by Almar Klein (Continuum Analytics) -- Link to Video
  • [from __past__ import print_statement: a Dadaist Rejection of Python 2 vs 3] by James Powell (Numfocus) -- Link to Video
  • [From Data Science to Production - deploy, scale, enjoy!] by Sergii Khomenko (STYLIGHT) -- Link to Video
  • [Winning Ways for Your Visualization Plays] by Mark Grundland -- Link to Video
  • [The Duct Tape of Heroes: Bayes Rule] by Vincent Warmerdam (GoDataDriven) -- Link to Video
  • [Networks meet Finance in Python] by Miguel Vaz (d-fine GmbH) -- Link to Video
  • [Tools and Tricks from a Pragmatic Data Scientist] by Lucas Bernardi (Booking.com) -- Link to Video
  • [Jupyter: Notebooks in Multiple Languages for Data Science] by Thomas Kluyver, Min Ragan-Kelley -- Link to Video
  • [Hybrid Recommender Systems in Python] by Maciej Kula (Lyst) -- Link to Video
  • [Improving PySpark Performance: Spark Performance beyond the JVM] by Holden Karau (IBM) -- Link to Video
  • [Explaining the idea behind Automatic Relevance Determination and Bayesian Interpolation] by Florian Wilhelm -- Link to Video
  • [Measuring Search Engine Quality using Spark and Python] by Sujit Pal (Elsevier) -- Link to Video
  • [NoSQL Python: making data frames work for you in a non-rectangular world] by Aileen Nielsen -- Link to Video
  • [The Role of Python in the Oil & Gas Industry] by Giuseppe Pagliuca (Shell) -- Link to Video
  • [Store and manage data effortlessly with HDF5] by Margaret Mahan (University of Minnesota) -- Link to Video
  • Gotta catch em all: recognizing sloppy work in crowdsourcing tasks] by Maciej Gryka (RainforestQA) -- Link to Video
  • [Python based predictive analytics with GraphLab Create] by Danny Bickson (Dato) -- Link to Video

Tutorials

  • [Machine Learning with Scikit-Learn] by Andreas Mueller (NYU) -- Link to Video
  • [Building a live face recognition system in the blink of a very slow eye] by Rodrigo Agundez (Qualogy Solutions) -- Link to Video
  • [Pandas: from bdate_range to wide_to_long] by Giovanni Lanzani (GoDataDriven) -- Link to Video