Search Results for author: Courtney Cochrane

Found 2 papers, 1 papers with code

Application of Machine Learning to Predict the Risk of Alzheimer's Disease: An Accurate and Practical Solution for Early Diagnostics

no code implementations • 2 Jun 2020 • Courtney Cochrane, David Castineira, Nisreen Shiban, Pavlos Protopapas

This paper proposes a machine learning predictive model for AD development without medical imaging and with fewer clinical visits and tests, in hopes of earlier and cheaper diagnoses.

BIG-bench Machine Learning feature selection

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MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales

1 code implementation • 20 Oct 2018 • Mark Hamilton, Sudarshan Raghunathan, Ilya Matiach, Andrew Schonhoffer, Anand Raman, Eli Barzilay, Karthik Rajendran, Dalitso Banda, Casey Jisoo Hong, Manon Knoertzer, Ben Brodsky, Minsoo Thigpen, Janhavi Suresh Mahajan, Courtney Cochrane, Abhiram Eswaran, Ari Green

We introduce Microsoft Machine Learning for Apache Spark (MMLSpark), an ecosystem of enhancements that expand the Apache Spark distributed computing library to tackle problems in Deep Learning, Micro-Service Orchestration, Gradient Boosting, Model Interpretability, and other areas of modern computation.

BIG-bench Machine Learning Distributed Computing +2

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