UBC algorithyms math data-structures

CPSC 320(Intermediate Algorithym Design and Analysis)

Tayyib Chohan –
CPSC 320(Intermediate Algorithym Design and Analysis)

CPSC 320(Intermediate Algorithym Design and Analysis) is a course I completed at UBC. The course explored a variety of techniques used to create and analyize and categorize algorithyms in terms of time-space complexity, np-completeness, and more. We explicitly explored time analysis, reductions, greedy algorithyms, dynamic programming, divide and conquer, ammortized analysis, np-completeness proofs. UBC provides the following description of the class content:

Systematic study of basic concepts and techniques in the design and analysis of algorithms, illustrated from various problem areas. Topics include: models of computation; choice of data structures; graph-theoretic, algebraic, and text processing algorithms.

UBC CPSC 320 Page, 2022

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UBC python pytorch numpy ml cnn ai

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CPSC 440 (Advanced Machine Learning) is a course I completed at UBC. The course focused on machine learning from a probabilististandpoint. The final deliverable for the course is paper detailing an experiment of our choice done to explore the field of machine learning.

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UBC java aws cloud backend

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