Introduction to Machine Learning: Supervised Learning offers a clear, practical introduction to how machines learn from labeled data to make predictions and decisions. You’ll build a strong foundation ...
A prior course in statistics at the level of IEMS 304; A course in matrix analysis; Proficiency in programming as coding will be a significant part of the class. This course examines a modern ...
High-dimensional -omics data such as genomic, transcriptomic, and metabolomic data offer great promise in advancing precision medicine. In particular, such data have enabled the investigation of ...
This course is compulsory on the MSc in Data Science. This course is available on the MPA in Data Science for Public Policy, MRes in Management (Marketing), MSc in Applied Social Data Science, MSc in ...
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