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Making R Go Faster and Bigger – Jared Lander ODSC Boston 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
What Can Graphs Teach Us about Teachers: Using Graphs for High Quality Recommendations – Amit Bhattacharyya ODSC Boston 2015
What Can Graphs Teach Us about Teachers: Using Graphs for High Quality Recommendations from odsc Teachers Pay Teachers is an online marketplace for teachers to buy, sell and share original educational resources. As any marketplace grows, there is an increasing need to provide a customized experience... Read more
Scalable Data Science and Deep Learning with H2O – Arno Candel ODSC Boston 2015
Scalable Data Science and Deep Learning with H2O from odsc The era of Big Data has passed, and the era of sensory overload – that is, the proliferation of sensor data – is upon us. The challenge today is how to create the next generation of... Read more
Searching for Meaning in the Deep Web – Andy Terrel ODSC Boston 2015
Searching for Meaning in the Deep Web from odsc The internet is a big place and most people’s interaction with it is regulated by a few companies paid to sell you things. My team has been building tools for the DARPA Memex project to democratize search... Read more
xlwings – Make Excel Fly with Python – Feliz Zumstein ODSC Boston 2015
xlwings – Make Excel Fly with Python from odsc xlwings is an open-source Python package that connects Excel with Python on Windows and Mac. It allows for interactive use from IPython Notebooks or any other Python environment but also allows to run Python code from Excel... Read more
DIY Deep Learning with Caffe Workshop – Kate Saenko ODSC Boston 2015
DIY Deep Learning with Caffe Workshop from odsc Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors. Caffe’s expressive architecture... Read more
High Performance Hardware for Data Analysis – Michael Pittaro ODSC Boston 2015
High Performance Hardware for Data Analysis from odsc Choosing hardware for big data analysis is difficult because of the many options and variables involved. The problem is more complicated when you need a full cluster for big data analytics. This session will cover the basic guidelines... Read more
Max Kuhn, Zachary Deane-Mayer – The Development Process for the caret Package ODSC Boston 2015
The caret package is a unified interface to a large number of predictive model functions in R. from odsc The caret package is a unified interface to a large number of predictive model functions in R. First created in 2005, the home for the source code... Read more
How to Quantify Culture – ODSC Boston 2015
How to Quantify Culture: Introduction to R Workshop from freshdatabos Read more
Building Fast Applications for Streaming Data – VoltDB ODSC Boston 2015
Building Fast Applications for Streaming Data from freshdatabos Read more