DataPhilly October 2013 - Data Science Tools and Techniques

This month will be a joint meetup with the newly formed DataBucks (http://goo.gl/namhEB) meetup group. To kick things off, we'll be discussing various data science tools and techniques.

Agenda:

6:00 PM - 6:30 PM - Food, Networking, and a word from AWeber (http://goo.gl/8fvmoE)

6:30 PM - 7:00 PM - What is Principal Component Analysis?, by Rob Lass (http://goo.gl/kwLnZ3)

7:00 PM - 7:30 PM - Realtime predictive analytics using RabbitMQ & scikit-learn., by Michael Becker (http://beckerfuffle.com)

7:30 PM - 8:00 PM - Lightning Talks

8:00 PM - Leave for Blue Dog (https://plus.google.com/102276312147828961785/about?gl=us&hl=en)

What is Principal Component Analysis?, by Rob Lass

Abstract:

Too many features got you down? Come learn about principal component analysis (PCA)! In this talk, you will receive a gentle introduction to the theory behind PCA, as well as instruction on using existing tools to make doing PCA for exploratory data analysis as easy as duck soup.

Bio:

Rob Lass is a software engineer for the Data Analysis and Management Ninjas at AWeber Communications, and a PhD candidate and instructor at Drexel University. He has over 30 publications focusing on constraint reasoning and mobile ad-hoc networking. When not writing autobiographical text, he typically does not refer to himself in the third person.

Realtime predictive analytics using RabbitMQ & scikit-learn., by Michael Becker

Abstract:

In this talk, you'll learn how to deploy a predictive model in a production environment using RabbitMQ and scikit-learn. You'll see a realtime content classification system to demonstrate this design.

Bio:

Michael Becker is a Software Engineer and Data Analysis and Management Ninja at AWeber Communications. He is passionate about using data analysis, machine learning and ninjas to provide business value. He refers to himself in the third person.

Transportation:

If you'd like a ride on the AWeber shuttle from the train station to the office and back, please post in the comments below.