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
Agile Data – Chris Bergh ODSC Boston 2015
Agile Data from odsc To rephrase an old saying: ‘It takes a village to raise an Analyst.’ Data Analysts and Scientists are working in teams delivering insight and analysis on an ongoing basis. So how do you get the team to support experimentation and insight delivery without ending up... 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
Big Data: Pig, Hive, Hadoop w/MapReduce – Gil Benghiat, Chris Bergh, Eric Estabrooks
Big Data Infrastructure: Introduction to Hadoop with MapReduce, Pig, and Hive from odsc The main objective of this workshop is to give the audience hands on experience with several Hadoop technologies and jump start their hadoop journey. In this workshop, you will load data and submit queries using Hadoop!... Read more
Using Open Source Solutions in Sports Business Operations – Matthew Wills ODSC Boston 2015
Using Open Source Solutions in Sports Business Operations from odsc This presentation will overview how the Grizzlies apply the use of R to their sales and marketing business operations. From basic data manipulation, to statistical modeling and enhanced visualization, the Grizzlies utilize R as a tool that efficiently positions... 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
Will Data Scientists Face Extinction – Alex Cosmas ODSC Boston 2015
http://bit.ly/AlexCosmasPresentation Presenter Bio Alex Cosmas is a Chief Scientist in Booz Allen Hamilton’s Strategic Innovation Group, specializing in predictive analytics across the travel, hospitality and consumer sectors. He is a recognized expert in the use of probabilistic and causal models to perform both deductive and inductive reasoning from large... 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
Using Python with Apache Storm and Kafka – Keith Bourgoin ODSC Boston 2015
http://bit.ly/KeithBourgoinPresentation As Python gains more and more traction in data science, the ability to interact with large scale data processing systems has greatly improved. Instead of being limited to what can fit on one’s laptop or having to wait for a Hadoop job to complete, we can now tap... Read more
API Driven Development: How I Build Things and Why – Kenneth Reitz ODSC Boston 2015
API Driven Development from odsc An exposé on human-centered design, as related to data science and “medium data”. Examples of great API design will be showcased, as well as other end-user facing tools that can enable data scientists to share their observations with the world. Presenter Bio Kenneth Reitz... Read more