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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
Beyond Names – Gregor Stewart ODSC Boston 2015
Beyond Names from odsc Finding and classifying the mentions of the things named in text, often called Named Entity Recognition or NER, is a fundamental task in many search and analysis applications. Mature, robust NER technology is available for many languages and domains, from people, places, and products, to... Read more
Domain Expertise and Unstructured Date – William Macmillan & Evan Schnidman ODSC Boston 2015
Domain Expertise and Unstructured Data from odsc Data science allows us to turn a dark forest into a world of perpetual twilight by giving us the tools to better understand the data that surrounds us. Unfortunately, in this world of twilight we still need a flashlight to get a... Read more
Practical Mergic – Aaron Schumacher ODSC Boston 2015
http://bit.ly/PracticalMergic Combining data sets can be a huge pain, with possible problems both obvious and insidious. Aaron will present practical approaches for detecting and avoiding potential pitfalls, as well as rigorous and repeatable processes for generating merge tables through reduction to de-duplication. The focus will be on techniques for... Read more
How I Fight Slavery – Eric Schles ODSC Boston 2015
http://bit.ly/EricSchlesODSCTalk In this talk I will be covering a set to techniques I’ve used to track and find instances of human trafficking on the internet. I’ll be going over web scraping, entity recognition, some techniques for text comparison, and data storage concerns. The tool that I will be explaining... Read more
Intro to Text Mining Using tm, openNLP and topicmodels – Ted Kwartler ODSC Boston 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 scale operations to... Read more
Bridging the Gap Between Data and Insight using Open-Source Tools – Nicholas Arcolano ODSC Boston 2015
Bridging the Gap Between Data and Insight using Open-Source Tools from odsc Despite the proliferation of open-source tools for analysis (such as Python and R) and those used for visualization (such as Javascript / D3), there often exist significant gaps between these areas, and those of us trying to... Read more
Kaggle The Home of Data Science – Anthony Goldbloom ODSC Boston 2015
Kaggle The Home of Data Science from odsc Keynote Presenter Bio Anthony Goldbloom is the founder and CEO of Kaggle. In 2011 & 2012, Forbes Magazine named Anthony as one of the 30 under 30 in technology, in 2013 the MIT Tech Review named him one of top 35... Read more
Jumping to Conclusions – Richard Robehr Bijjani ODSC Boston 2015
Jumping to Conclusions from odsc Data Science is the study of the extraction of knowledge from data. What if we extract partial or inaccurate knowledge? This illusion of knowledge would lead us to make wrong decisions, with sometimes disastrous consequences such as in the case of medical diagnosis, security... Read more
Machine Learning Based Personalization Using Uplift Analytics: Examples and Applications – Victor Lo ODSC Boston 2015
Uplift Modeling Workshop from odsc Traditional randomized experiments allow us to determine the overall causal impact of a treatment program (e.g. marketing, medical, social, education, political). Uplift modeling (also known as true lift, net lift, incremental lift) takes a further step to identify individuals who are truly positively influenced... Read more