Mark Higgins ODSC Boston 2015 – Crowd Sourced Data Science Competitions
Mark higginscrowd sourced_data_science_competitions from odsc Data science is increasingly relevant for a wide range of companies. Tools and infrastructure for data science are growing but are extremely fragmented. Hiring the right data scientists and creating an environment to host and analyze the data continue to be challenges. Several startups... Read more
Ted Dunning at ODSC Boston 2015
Anomaly Detection In a complex world of rapidly changing information, it’s not easy to find something that is rare – but it’s even harder if you do not know what to look for. In this webinar, Ted Dunning and Ellen Friedman, authors of the O’Reilly ebook, Practical Machine Learning:... Read more
ODSC Interview with Gael Varoquaux
Gaël Varoquaux is an INRIA faculty researcher working on data science for brain imaging in the Neurospin brain research institute (Paris, France). His research focuses on modeling and mining brain activity in relation to cognition. Years before the NSA, he was hoping to make bleeding-edge data processing available across... Read more
Bill Disch at ODSC Boston 2015
Modeling in the Healthcare Industry: A Collaborative Approach Modeling in the Healthcare Industry: A Collaborative Approach from odsc Evariant has partnered with, and are using DataRobot for multivariate predictive analytics because it is a flexible, robust, and extremely efficient tool for maximizing our modeling efforts, as well as an... Read more
Machine-in-the-loop for Knowledge Discovery – Max Kleiman-Weiner ODSC Boston 2015
Machine-In-The-Loop for Knowledge Discovery from odsc I’ll present the new knowledge discovery tools we are building at Diffeo. Unlike traditional search engines that use keywords, Diffeo provides an in-browser knowledge base that accelerates information gathering about people, companies, chemical compounds, cyber events, or other real world entities. I’ll describe... Read more
Data Science at Dow Jones: Monetizing Data, News and Information – Juan Huerta ODSC Boston 2015
Data Science at Dow Jones: Monetizing Data, News and Information from odsc In this presentation I will describe the way Data Science supports the business of information and news at Dow Jones. Specifically, I will describe how we are introducing innovative and advanced large-scale information mining and analytic approaches... Read more
Think Breadth, Not Depth – Seong Lee ODSC Boston 2015
Think Breadth, Not Depth from odsc We’ve all been told to “work smarter, not harder.” But what does working smarter really mean? In the world of finance and trading, working smarter means working differently. None of us can compete against computers stacked inches away from the stock exchange or... Read more
Productionizing Deep Learning from the Ground Up – Adam Gibson ODSC Boston 2015
Productionizing Deep Learning From the Ground Up from odsc Presenter Bio Adam Gibson is the founder of Skymind.io and is a deep­ learning specialist based in San Francisco assisting Fortune 500 companies, hedge funds, PR firms and startup accelerators with their machine learning projects. Adam has a strong track... Read more
Mobile Technology Usage by Humanitarian Programs: A Metadata Analysis – Rashmi Dayalu ODSC Boston 2015
Mobile technology Usage by Humanitarian Programs: A Metadata Analysis from odsc CommCare, developed by Dimagi Inc., is an open-source mobile technology platform that supports hundreds of humanitarian frontline programs worldwide.The objective of this analysis is to demonstrate how CommCare metadata contains a wealth of information that can inform humanitarian... Read more
Building a Predictive Analytics Solution with Azure ML  – Fidan Boylu & Syed Fahad Allam Shah ODSC Boston 2015
Building a Predictive Analytics Solution with Azure ML from odsc Create and operationalize a predictive model using Microsoft Azure Machine Learning. –Perform the typical steps involved in building a predictive analytics solution such as data ingestion, data cleansing, data exploration, feature engineering, model selection and evaluation of model results... Read more