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Volver a Trees and Graphs: Basics

Opiniones y comentarios de aprendices correspondientes a Trees and Graphs: Basics por parte de Universidad de Colorado en Boulder

4.8
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41 calificaciones

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Basic algorithms on tree data structures, binary search trees, self-balancing trees, graph data structures and basic traversal algorithms on graphs. This course also covers advanced topics such as kd-trees for spatial data and algorithms for spatial data. Trees and Graphs: Basics can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder....

Principales reseñas

SK

28 de ago. de 2021

Great lecturer and course materials. Assignments were fun also

AP

29 de mar. de 2022

I have grade 100% My mail id- freespace644@gmail.com

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