Training Program Title

Introduction to Machine Learning

Contributor

Advance-CTR

CTSA Hub Administered

yes

Contact Information

Advance-CTR, AdvanceRI@Brown.edu

Training Program Description

Presented by: Carsten Eickhoff, PhD, assistant professor of medical and computer science at Brown University This talk introduces the basic components of machine learning systems and research papers and introduce the notion of casting inference problems in terms of features and labels. We discuss supervised classification and regression techniques as well as altogether unsupervised learning schemes. We look at reinforcement learning, model optimization and evaluation and close with a discussion of model generality and the curse of dimensionality. https://www.youtube.com/watch?v=wvAh9XmkhqA&list=PL0UcWim64fqnDLMaWNVPJJkpQRyfqaV5u&index=1&t=2s

Competency Keywords

Biomedical research, Translational research, Clinical research, Biomedical informatics

Other Keywords

machine learning, reinforcement learning, unsupervised learning, regression techniques

Digital Commons Disciplines

Medical Education

Public

yes

Cost to Access

no

Competency Domains

Scientific Concepts and Research Design; Data Management and Informatics

Delivery Method

Online

Target Learners

Principal Investigators; Clinical Research Professionals (other than PI); MDs including residents, house officers, fellows, hospitalists; Post-doctoral scholars

Learning Level

Fundamental

Onboarding

no

Frequency

On demand

Associated Assessment

no

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