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Explore the fundamentals of probability, statistics, and statistical testing in this comprehensive lecture by Saurabh Sinha. Gain insights into essential concepts that form the backbone of data analysis and machine learning. Learn how these principles apply to health and disease-related data as part of the "Machine Learning for Health and Disease" program. Discover the importance of these mathematical foundations in bridging the gap between computational modeling and clinical problems. Enhance your understanding of how probability and statistics contribute to analyzing patient data, predicting outcomes, and inferring patterns in large-scale healthcare datasets.
