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End to End Machine Learning with MLDB.ai — Jeremy Barnes (MLDB.ai)
Oct
12
12:00 PM12:00

End to End Machine Learning with MLDB.ai — Jeremy Barnes (MLDB.ai)

MLDB is an open-source database designed for machine learning. You can install it wherever you want and send it commands over a RESTful API to store data, explore it using SQL, then train machine learning models and expose them as APIs. In this talk, we will cover how to build a Predictive API "end to end" from data exploration to model evaluation to deployment, all using only simple MLDB API calls from MLDB's Notebook interface.

Jeremy Barnes is an entrepreneur and technology leader, active at the intersection of artificial intelligence and industry. He has 15 of years of experience applying machine learning to develop innovative products. Prior to MLDB.ai, he co-founded Datacratic, an enterprise software company developing machine learning technology for the marketing industry. Before that, Jeremy co-founded Idilia, a computational linguistics company, where he was responsible for research and development of Idilia's machine learning based core computational linguistics technology.

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Development and cloud deployment of machine learning models for heartbeat classification on data from wearable devices — Ikaro Silva (MC10)
Oct
11
11:30 AM11:30

Development and cloud deployment of machine learning models for heartbeat classification on data from wearable devices — Ikaro Silva (MC10)

Electrical heart signals are one of the most recorded and stored physiological data in healthcare. With cardiovascular diseases being the single most common cause of death in the world, automatic analysis of cardiac signals under normal ambulatory conditions is expected to play a crucial role in assisting clinicians identify health issues. A critical step towards this goal is the automatic classification of heartbeats. The purpose of this work is to showcase the development and deployment of a cloud system for heartbeat classification collected from wearable devices.

Dr. Ikaro Silva is a Data Scientist at MC10 Inc and is responsible for developing algorithms that process the biological signals collected through MC10's unique wearable form factors. Dr. Silva is also a research scientist at MIT, where he is involved in augmenting PhysioNet's open source software and research.

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