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
Data Science 101 – Todd Cioffi ODSC Boston 2015
Data Science 101 from odsc Curious about Data Science? Self-taught on some aspects, but missing the big picture? Well, you’ve got to start somewhere and this session is the place to do it. This session will cover, at a layman’s level, some of the basic concepts of Data Science.... Read more
Can We Automate Predictive Analytics – Thomas Dinsmore ODSC Boston 2015
Can We Automate Predictive Analytics from odsc Recent news about the pending shortage of data scientists prompts speculation about automation: will machines replace human analysts? We propose a model of automation, and briefly review progress in automated machine learning over the past twenty years. Summarizing the current state of... Read more
Learning to Love Bayesian Statistics – Allen Downey ODSC Boston 2015
http://tinyurl.com/lovebayes Bayesian statistical methods provide powerful tools for answering questions and making decisions. For example, the result of Bayesian analysis is a set of values and probabilties that can be fed directly into a cost-benefit analysis, which is not possible with conventional statistics. But there are several barriers to... Read more
Predictive Modeling Workshop – Max Kuhn ODSC Boston 2015
Predictive Modeling Workshop from odsc The workshop is an overview of creating predictive models using R. An example data set will be used to demonstrate a typical workflow: data splitting, pre-processing, model tuning and evaluation. Several R packages will be shown along with the caret package which provides a... 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
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
Keeping Governments Accountable with Open Data Science – Cezary Podkul & Marc Joffe ODSC Boston 2015
Keeping Governments Accountable with Open Data Science from odsc Keeping Governments Accountable with Open Data Science: Extracting and Analyzing Municipal Financial Data from odsc Open data is enabling journalists, watchdog groups and investors to gain more insight than ever before into the finances of state and local governments. Unfortunately,... Read more