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
Data Workflows for Iteration, Collaboration, and Reproducibility – David Chudzicki ODSC Boston 2015
http://www.davidchudzicki.com/slides/odsc-2015-workflow/ For other data scientists to improve, build on, or even just trust your analysis, they need to be able to reproduce it. Even if you have shared code and data, reproducing your analysis may be difficult: which code was executed against which data in what order? And even... 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
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
The Big Data of Everyday Things – Gerard Dwan ODSC Boston 2015
The Big Data of Everyday Things from odsc Despite the amount of hype in the technical industry, there isn’t always a visible path to operational benefit. Many organizations are investing blindly in data science and big data without understanding the benefits the technology can bring or the talent required... 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
Data Visualization & UX – Mark Schindler and Bang Wong ODSC Boston 2015
Data Visualization & UX from odsc Data Visualization is about helping people gain knowledge from data. The focus of this workshop is on approaches to turn data into actionable insights, combining heuristics for visual analytics with techniques from user-experience design. Participants will learn how to choose and create data... Read more
High Performance Hardware for Data Analysis – Michael Pittaro ODSC Boston 2015
High Performance Hardware for Data Analysis from odsc Choosing hardware for big data analysis is difficult because of the many options and variables involved. The problem is more complicated when you need a full cluster for big data analytics. This session will cover the basic guidelines and architectural choices... 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