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Divide and Conquer, Sorting and Searching, and Randomized Algorithms
The primary topics in this part of the specialization are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer.
17 h
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
Learn Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming from Stanford University.
15 h
Graph Search, Shortest Paths, and Data Structures
Learn Graph Search, Shortest Paths, and Data Structures from Stanford University. The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives .
15 h
International Women's Health and Human Rights
Learn International Women's Health and Human Rights from Stanford University.
64 h
Shortest Paths Revisited, NP-Complete Problems and What To Do About Them
The primary topics in this part of the specialization are: shortest paths (Bellman-Ford, Floyd-Warshall, Johnson).
14 h
Supporting Parents of a Newborn Baby
In this course, you will learn some core components in supporting parents of newborn babies.
Machine Learning
Popular courseMachine Learning from Stanford University. Machine learning is the science of getting computers to act without being explicitly programmed.
60 h
Details about Stanford University free courses and classes online
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Collection of free Stanford University Courses and MOOCs online
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