Intro to D3
Abstract: Visualizations are the most important way we can intuitively make sense of our data. And the best way to dig deeper into our data is to make those visualizations interactive. Everyone from the New York Times to Google is using interactive visualizations to tell stories and analyze data. D3, an open-source Javascript data visualization ...
Dataset Shift in Machine Learning
Introduction: DataRobot's Peter Prettenhofer gave an engrossing talk at the recent ODSC UK conference on the problem of dataset shift in Machine Learning. His introduction consisted of a brief touch on the mathematics of supervised learning and an outline of dataset shift. An interactive illustration served as a wonderful visual display of the ...
Probabilistic Machine Learning with PyMC3
Abstract: Probabilistic Programming is a powerful set of tools which is barely sampled from by the traditional Machine Learning toolbox. PyMC3 is a popular Python library which leverages this power. Learn more about the library - and Probabilistic Programming - from one of the project's core contributors. Introduction: Dr. Thomas Wiecki of ...
On the Code of Data Science
The recent ODSC UK conference welcomed Gael Varoquaux, a Computer Science Researcher and key contributor to scikit-learn, to give a keynote address. His speech had a distinctly Pythonic flavor, just as he had warned it would. Mr. Varoquaux began with promoting the integration of common software development methodologies and best practices into ...
Data Science: Applications for Healthcare
Daniel Ferrante, Chief Data Officer of SFL Scientific, gave an overview of some of the innovative ways Data Science is being used in healthcare, as well as speaking about the theory behind the methods applied. He began Deep Learning's use in Computer Vision applications, and outlined how this workflow helped in extracting information from ...
Three Challenges for Open Data Science
Even with Data Science's quick evolution, there are still numerous challenges for the community to tackle. Neil Lawrence cast an eye over several of these in his enlightening ODSC UK keynote. One of his points lay out the problem of discerning the correct inferences which can be made from big data using Data Science. Another outlined the bandwidth ...
Data Science for Internet of Things
Bio: Ajit’s work involves applying machine learning techniques to complex problems in the IoT (Internet of Things) and Telecoms domains His research is based on two courses taught by Ajit – Big Data for Telecoms(Oxford University) and the citysciences program (UPM –Technical University of Madrid).His latest book is included as a course ...
Telling Stories with Data ( 32 min )
How Do You Do It and Why is It Important? Abstract: People don’t remember numbers, they remember stories. If you want to communicate your data-driven findings to an audience, and you actually want people to take action based on them, then you need to be able to tell a compelling story with your numbers. As they say “a pie chart didn’t change the ...
Social Network Analysis
Social media data is inexpensive, fast, and effortless to access. As a result, businesses are increasingly using data from social networking sites such as Twitter, Facebook, Youtube, and Google Search. As more value is being realized from online communities, graph-based approaches are becoming increasingly important for mining social networks. ...
