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Tools & Languages
Intro to Text Mining Using tm, openNLP and topicmodels – Ted Kwartler ODSC Boston 2015

Intro to Text Mining Using tm, openNLP and topicmodels – Ted Kwartler ODSC Boston 2015

ConferencesModelingNLP/Text AnalyticsRTools & LanguagesODSC East 2015|Speaker Slidesposted by Edward Kwartler June 4, 2015

Intro to Text Mining Using tm, openNLP and topicmodels from odsc You will learn how modern customer service organizations use data to understand important customer attributes and how R is used for workforce optimization. Topics include real world examples of how R is used in large... Read more
Enabling Graph Analytics at Scale: The Opportunity for GPU-Acceleration of Data-Parallel Graph Analytics (Application to Bioinformatics) – Brad Bebee ODSC Boston 2015

Enabling Graph Analytics at Scale: The Opportunity for GPU-Acceleration of Data-Parallel Graph Analytics (Application to Bioinformatics) – Brad Bebee ODSC Boston 2015

ConferencesToolsTools & LanguagesODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

Enabling Graph Analytics at Scale: The Opportunity for GPU-Acceleration of Data-Parallel Graph Analytics (Application to Bioinformatics) from odsc From social networks to protein networks to financial transactions, graphs are everywhere. Graph Analytics represent a key tool for data science to take advance of this type of... Read more
Data Workflows for Iteration, Collaboration, and Reproducibility – David Chudzicki ODSC Boston 2015

Data Workflows for Iteration, Collaboration, and Reproducibility – David Chudzicki ODSC Boston 2015

ConferencesTools & LanguagesWorkflowODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

http://www.davidchudzicki.com/slides/odsc-2015-workflow/ For other data scientists to improve, build on, or even just trust your analysis, they need to be able to reproduce it. Even if you have shared code and data, reproducing your analysis may be difficult: which code was executed against which data in what... Read more
Predictive Modeling Workshop – Max Kuhn ODSC Boston 2015

Predictive Modeling Workshop – Max Kuhn ODSC Boston 2015

ConferencesModelingPredictive AnalyticsRTools & LanguagesODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

Predictive Modeling Workshop from odsc The workshop is an overview of creating predictive models using R. An example data set will be used to demonstrate a typical workflow: data splitting, pre-processing, model tuning and evaluation. Several R packages will be shown along with the caret package... Read more
Making R Go Faster and Bigger – Jared Lander ODSC Boston 2015

Making R Go Faster and Bigger – Jared Lander ODSC Boston 2015

ConferencesRTools & LanguagesODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

http://bit.ly/JaredLanderPresentation The features of R that make it easy to use–dynamically typed, in-memory analysis, the interpreter engine and REPL–can also slow it down. Fortunately the R Core Team has made dramatic improvements in recent years with better memory management and faster interpretation of code. We look... Read more
Probabilistic Programming in Data Science – Thomas Wiecki ODSC Boston 2015

Probabilistic Programming in Data Science – Thomas Wiecki ODSC Boston 2015

ConferencesModelingStatisticsToolsTools & LanguagesODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

http://bit.ly/ThomasWieckiPresentation There exist a large number of metrics to evaluate the performance-risk trade-off of a portfolio. Although those metrics have proven to be useful tools in practice, most of them require a large amount of data and implicitly assume returns to be normally distributed. Bayesian modeling... Read more
On Demand Analytic and Learning Environments with Jupyter – Kyle Kelley and Andrew Odewahn ODSC Boston 2015

On Demand Analytic and Learning Environments with Jupyter – Kyle Kelley and Andrew Odewahn ODSC Boston 2015

ConferencesPythonTools & LanguagesODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

http://bit.ly/Odewahn_KelleyPresentation The Jupyter/IPython project has been building systems to enable collections of users to work on a shared system within their team, lab, and on a wide web audience. There is the multi user server JupyterHub, the temporary notebook system (tmpnb), blossoming Google Drive integration (jupyter-drive),... Read more
A Hybrid Approach to Data Science Project Management – Elaine Lee ODSC Boston 2015

A Hybrid Approach to Data Science Project Management – Elaine Lee ODSC Boston 2015

ConferencesTools & LanguagesWorkflowODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

A Hybrid Approach to Data Science Project Management from odsc In recent years, Data Science evolved into its own profession as a response to the proliferation of data that needed to be analyzed and made actionable — a job that could not be adequately addressed by... Read more
Vowpal Wabbit – Paul Mineiro ODSC Boston 2015

Vowpal Wabbit – Paul Mineiro ODSC Boston 2015

ConferencesToolsTools & LanguagesODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

Vowpal Wabbit from odsc Vowpal Wabbit is both an open-source machine learning toolkit and an active research platform. In this talk I introduce Vowpal Wabbit, discuss some of the design decisions, and the types of problems for which VW is (or is not) a good fit.... Read more
Monary: Really fast analysis with MongoDB and NumPy – Anna Herlihy ODSC Boston 2015

Monary: Really fast analysis with MongoDB and NumPy – Anna Herlihy ODSC Boston 2015

ConferencesPythonToolsTools & LanguagesODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

Monary from odsc “MongoDB is a scalable, flexible and easy to use way of storing large data sets. Python and NumPy provide a comprehensive toolkit for data analysis. Unfortunately they don’t work together as well as they could: the official Python driver for MongoDB, PyMongo, is... Read more
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