Description
That is the second course within the 3-course Machine Learning Collection and is obtainable at Georgia Tech as CS7641. Taking this class right here doesn’t earn Georgia Tech credit score.
Ever marvel how Netflix can predict what films you may like? Or how Amazon is aware of what you need to purchase earlier than you do? The reply might be present in Unsupervised Learning!
Intently associated to sample recognition, Unsupervised Learning is about analyzing knowledge and searching for patterns. It’s an especially highly effective software for figuring out construction in knowledge. This course focuses on how you should utilize Unsupervised Learning approaches — together with randomized optimization, clustering, and have choice and transformation — to search out construction in unlabeled knowledge.
Collection Data: Machine Learning is a graduate-level sequence of three programs, overlaying the realm of Synthetic Intelligence involved with laptop applications that modify and enhance their efficiency via experiences.
All the sequence is taught as an attractive dialogue between two eminent Machine Learning professors and mates: Professor Charles Isbell (Georgia Tech) and Professor Michael Littman (Brown College).
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