Special Edition: Data Science for disease detection+ Machine Learning Benchmarks

We have a special guest coming from London to share his practical data science experience with us.

1. Frank Kelly - Early-stage disease detection using data science

Alzheimer's disease is a form of dementia that affects over 44 million people globally. Unfortunately the condition is very hard to detect in its early stages. It is usually diagnosed by a simple questionnaire test, an approach that can only detect Alzheimer's disease many years after its onset. The challenge set in this project was earlier detection using Python and data science. A fuller description is available here: http://pydata.org/london2016/schedule/presentation/26/

About the speaker: Frank is a data scientist, currently working at an Angel-backed startup where he is focused on the applications of graph analytics and various types of clustering. Cambridge-educated and formally trained as an Electrical Engineer, Frank has extensive heavy industry experience as well as a background as a former tech startup co-founder. He has knowledge in the areas of time series analysis and signal processing with Bayesian inference. He is motivated by the prospect of using data science in a potentially high impact project in a field that affects so many lives globally.

2. Ines Almeida - Machine Learning Services Benchmark: choosing the right tools for your application

Implementing a machine learning solution from scratch requires a lot of resource investment before yielding results. It is tempting to look for off the shelf machine learning solutions that are easy to integrate within one’s product instead. In this talk, you will follow a real case example of how the need to solve a specific problem led to doing a benchmark on a series of machine learning services. You will learn how these services compare, and pick up some tips on how to conduct your own benchmarks along the way.

About the speaker: Ines Almeida is one of our regular speakers, the data scientist at Liquid and a passionate learner.

Looking forward to seeing you there!

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