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An Introduction to Machine Learning and Deep Learning for Biology and Medicine
Alex's Lemonade Stand Foundation (ALSF) presents a virtual childhood cancer lecture featuring Casey S. Greene, PhD. Dr. Greene's lecture will discuss recent developments in computer science and how these advances are impacting both basic and clinical research with an eye towards how these approaches will begin to impact clinical care.

During this lecture, participants will:

1) Describe a conceptual difference between classical machine learning techniques and deep learning.
2) Describe the difference between supervised and unsupervised machine learning.
3) Identify at least two major challenges that biomedical data, and in particular pediatric cancer data, pose for the successful application of deep learning.

Jul 21, 2020 01:00 PM in Eastern Time (US and Canada)

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Casey S. Greene, PhD
Casey S. Greene, PhD is an Associate Professor at the Perelman School of Medicine at the University of Pennsylvania and the Director of the Childhood Cancer Data Lab for Alex's Lemonade Stand Foundation. His research focuses on harnessing large collections of biomedical data to discover new, physiologically-relevant patterns.