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Little Bird Technologies

506 SW 6th, Suite 200
Portland, Oregon 97205, US (map)

Access Notes

Little Bird is in the Wilcox building on the second floor

Future events happening here

  • - No events -

Past events that happened here

  • Wednesday
    Oct 29 2014
    Kaggle Workshop!

    Come learn about Kaggle (http://www.kaggle.com), an online community pitting teams of data scientists against interesting problems. Whether you are totally new to Kaggle or already working on a competition please join us for an exciting evening of discussion and data hacking. If you are interested in working on some real world data problems this event is for you! All experience levels welcome.

    The evening will begin with an overview of Kaggle - how to sign up, machine learning resources, and how to pick a project, followed by a break out session where teams can start looking into competitions of interest.

  • Tuesday
    Oct 21 2014
    PDX Women in Tech (PDXWIT) Happy Hour Networking Event

    Little Bird Technologies

    Come join an amazing group of women for happy hour at Little Bird! No specific agenda, just network and have fun! Make sure you say hi to Amie Kuttruff, a Web Developer at Little Bird. Read our newsletter for more information about Amie!

    PDX Women in Tech exists to celebrate professional women in the Portland-metro area who work with, manage, lead or have an interest in TECHNOLOGY. Whether you are developing event-driven, non-blocking applications in node.js or setting technology strategy for a Fortune 500 company–or anything in between–come join us!

  • Wednesday
    Jul 23 2014
    OSCON Talk: Analyzing Data with Python with Sarah Guido

    Python is quickly becoming the go-to language for data analysis. There are so many tools out there that it can be overwhelming for those that are new to analyzing data in Python. In this presentation, I’ll discuss several of the best tools for working with data, how to structure a data analysis workflow, and which tools are appropriate for handling different kinds of data. You’ll leave with a good understanding of different data analysis techniques in Python and some ideas to try on your own.

    I’ll show you examples of each of the following:

    • Data preprocessing
    • Using Scikit-learn for machine learning
    • Using the Natural Language Toolkit for natural language processing Running MapReduce jobs with MRjob Visualizing our results with matplotlib
  • Wednesday
    Apr 30 2014
    Data Visualizations in R presented by Mary Anne Thygesen

    Everyone and their dog are turning out graphs of social networks. My helpers are Bonnie and Vinson.

    With their help I will construct visualizations of interesting data using R and its libraries. R does a very nice job of pulling in the data then visualizing it. I will present a few libraries from R. gRim, gRain, gRbase, gRapHD, igraph, Rgraphviz.

    The talk will have more pretty pictures of data visualizations than code and theory. Enough Theory so that you will be able to tell if your results pass the smell test. Or in others words how confident you can be with your results. All the R code will be available. One of the books that I am basing this talk on is: Graphical models with R by Soren Hojsgaard, David Edwards and Steffen Lauritzen published by Springer

    An example dataset in the book is carcass. I will come up with data to replace this data set. Although Bonnie and Vinson approve of the data set.

  • Tuesday
    Feb 25 2014
    Social Network Analysis 101 with Python

    NetworkX is a Python language software package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. NetworkX is ideal of doing medium scale network analysis (millions of nodes and edges), and has a number of helpful features including embedded visualization tools and graph data generators.

    Huston Hedinger will introduce using NetworkX to analyze social networks and basic network concepts. Additionally, he will talk through 'dispersion’ an algorithm recently discovered by Facebook researchers that predicts romantic relationships in Facebook networks with up to 60% accuracy. Huston recently adapted the algorithm to be included in NetworkX as a measure of centrality.


  • Wednesday
    Jan 29 2014
    Portland Data Science Group Presentation Night: "Commonality in Social Networks"

    Date has changed from Tuesday, Jan. 28, 2014 to Wednesday

    Devin Gaffney will give a presentation on homophily, and demonstrate inferences that can be gleaned from examining social networks. After the talk we will head over to Pints for drinks and discussion.

    Background Information: