“Big data” machine“Big data” machine learning for prediction and classification Very large...

“Big data” machine learning for prediction and

classification

Daniel Acuna, Ph.D.

Rehabilitation Institute of Chicago & Northwestern University

“Elevator speech”

• Perfect storm for breakthroughs in machine learning

Very large unstructured datasets

Complex models Good prediction and classification

with little engineering

Increased computational power

Fast and accurate learning algorithms

• Typically done by a committee of experts based on education, awards, experience, publications, and funding.

Predicting scientific success

Quantitative measure of scientific “success”

• h-index: Measure of scientific “success”

Index of success using “big data”?

• Combining large datasets from heterogenous sources

Publications Funding Collaboration

Predicting scientific “success”

Acuna et al., Nature, 2012 “small data”

“big data”

Why “big data” works?

Simple model Complex model

Why “big data” works?

Simple model Complex model

Why “big data” works?

Why “big data” works?

Simple model Complex model

Why “big data” works?

Simple model Complex model

Why “big data” works?

“big data” “small data”

“Big data” machine learning for prediction and classification

Very large unstructured datasets

Complex models Good prediction and classification

with little engineering

Increased Computational power

Fast and accurate learning algorithms

Daniel Acuna, Ph.D.

Rehabilitation Institute of Chicago & Northwestern University