You will have reading, a quiz, and a Jupyter notebook lab/Peer Review to implement the PCA algorithm. This week, we are working with clustering, one of the most popular unsupervised learning methods.
Prerequisites: COMP_SCI grad standing OR (COMP_SCI 214 and (MATH 240-0 or GEN_ENG 205-1 or GEN_ENG 206-1) and (IEMS 201-0 or IEMS 303-0 or ELEC_ENG 302-0 or STAT 210-0 or MATH 310-1) Machine Learning ...
This lucid textbook presents the theoretical foundations of machine learning algorithms, and then illustrates each concept with its detailed implementation in Python to allow beginners to effectively ...
This project aimed to critically assess the use of machine learning algorithms for policing, and provide practical recommendations to contribute to the fast-moving debate on policy and governance in ...
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New quantum encoding methods slash circuit complexity in machine learningA recent study by researchers from CSIRO and the University of Melbourne has made progress in quantum machine learning, a ...
The field of quantum machine learning, which aims to achieve quantum advantage to outperform classical machine learning, has ...
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