An Introduction to Machine Learning and Deep Learning for Biology and Medicine скачать в хорошем качестве

An Introduction to Machine Learning and Deep Learning for Biology and Medicine

On July 21, 2020, Alex's Lemonade Stand Foundation (ALSF) presented a virtual childhood cancer lecture featuring Casey S. Greene, PhD. Dr. Greene's lecture discussed 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. Other lectures of interest. Genomic Variants in Pediatric Cancer & Data Sharing Ecosystem    • Genomic Variants in Pediatric Cancer: Land...   Harnessing Biotechnology Innovation to Improve Pediatric Cancer    • Harnessing Biotechnological Innovation to ...   Pediatric Leukemia - Following Clonal Dynamics w Cellular Barcoding    • On the Way to Pediatric Leukemia - Followi...   Lessons from the Pediatric Cancer Data Commons    • Transforming the Way Researchers Share Dat...   Unsupervised Transfer Learning for Rare Disease Transcriptomics    • Unsupervised Transfer Learning for Rare Di...   Visit https://www.alexslemonade.org/childho... to learn more about ALSF's Virtual Childhood Cancer Lecture Series and to register for upcoming lectures. #MachineLearning #DeepLearning #ChildhoodCancer