CSOR W4246 Algorithms for Data Science
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The CSOR W4246 Algorithms for Data Science course unit basically introduce students the methodologies for organizing the data, such as, hashing, queues, hashing, lists, trees, priority queues; sorting and searching; streaming algorithms for calculating statistics on the data; fundamental graph models and algorithms for searching, shortest paths, and matching; linear and convex programming; dynamic programming; conjugate gradient, Newton and quasi-Newton methods; stability of numerical algorithms, Eigen values, singular values, PCA, gradient descent, stochastic gradient descent, and block coordinate descent. Large scale applications from the signal processing, collaborative filtering, and recommendations systems, are also studied beneath this course.
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List of relevant courses, which are covered by the professional tutors of ExpertsMinds:
- CSOR W4231 Analysis of Algorithms Assignment Help
- CSOR W4246 Algorithms For Data Science Assignment Help