Search results “Text mining preprocessing steps to buying” for the 2012
Weka Tutorial 02: Data Preprocessing 101 (Data Preprocessing)
This tutorial demonstrates various preprocessing options in Weka. However, details about data preprocessing will be covered in the upcoming tutorials.
Views: 170754 Rushdi Shams
Manipulating data using the csv module in Python
In this video I show how to import and export data from and to csv files in python using the csv module (http://docs.python.org/2/library/csv.html). There's a blog post you can grab the code from here: http://goo.gl/j9h7u
Views: 61951 Vincent Knight
Outputting Data from EasyLanguage
Outputting Data from EasyLanguage Probability Maps are complex analysis tools in TradeStation that paint the background of the chart based on a probability or data matrix. This webinar will discuss how to interpret a Probability Map and explain the concepts behind creating your own Probability Map Studies in EasyLanguage.
Views: 2649 TradeStation
NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Hazy - Making Data-driven...
Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Hazy: Making Data-driven Statistical Applications Easier to build and Maintain by Chris Re Christopher (Chris) Ré is currently an assistant professor in the department of Computer Sciences at the University of Wisconsin-Madison. The goal of his work is to enable users and developers to build applications that more deeply understand data. In many applications, machines can only understand the meaning of data statistically, e.g., user-generated text or data from sensors. Abstract: The main question driving my group's research is: how does one deploy statistical data-analysis tools to enhance data driven systems? Our goal is to find abstractions that one needs to deploy and maintain such systems. In this talk, I describe my group's attack on this question by building a diverse set of statistical-based data-driven applications: a system whose goal is to read the Web and answer complex questions, a muon detector in collaboration with a neutrino telescope called IceCube, and a social-science applications involving rich content (OCR and speech data). Even in this diverse set, my group has found common abstractions that we are exploiting to build and to maintain systems. Of particular relevance to this workshop is that I have heard of applications in each of these domains referred to as "big data." Nevertheless, in our experience in each of these tasks, after appropriate preprocessing, the relevant data can be stored in a few terabytes -- small enough to fit entirely in RAM or on a handful of disks. As a result, it is unclear to me that scale is the most pressing concern for academics. I argue that dealing with data at TB scale is still challenging, useful, and fun, and I will describe some of our work in this direction. This is joint work with Benjamin Recht, Stephen J. Wright, and the Hazy Team
Views: 2681 GoogleTechTalks
Approaches to Streamlining the Data Access Process (Policy/ELSI)  - Laura Rodriguez
June 5-6, 2012 - Establishing a Central Resource of Data from Genome Sequencing Projects Workshop More: http://www.genome.gov/27549169
cs224n lecture18
Views: 2916 pikarenx

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