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 at some of... Read more
Probabilistic Programming in Data Science – Thomas Wiecki ODSC Boston 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 is a statistical... Read more
On Demand Analytic and Learning Environments with Jupyter – Kyle Kelley and Andrew Odewahn ODSC Boston 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), notebook spawning in... Read more
A Hybrid Approach to Data Science Project Management – Elaine Lee ODSC Boston 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 any single one... Read more
Vowpal Wabbit – Paul Mineiro ODSC Boston 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. The talk includes... 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 so that the... 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 business and consumer... 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 for all, with... 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 as replacement for... 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 encourages application and... Read more