In previous courses of our online specialization you've learned the basic algorithms, and now you are ready to step into the area of more complex problems and algorithms to solve them. Advanced algorithms build upon basic ones and use new ideas. We will start with networks flows which are used in more typical applications such as optimal matchings, finding disjoint paths and flight scheduling as well as more surprising ones like image segmentation in computer vision. We then proceed to linear programming with applications in optimizing budget allocation, portfolio optimization, finding the cheapest diet satisfying all requirements and many others. Next we discuss inherently hard problems for which no exact good solutions are known (and not likely to be found) and how to solve them in practice. We finish with a soft introduction to streaming algorithms that are heavily used in Big Data processing. Such algorithms are usually designed to be able to process huge datasets without being able even to store a dataset.
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귀하가 습득할 기술
- 5 stars72.30%
- 4 stars18.30%
- 3 stars5.53%
- 2 stars1.69%
- 1 star2.15%
ADVANCED ALGORITHMS AND COMPLEXITY의 최상위 리뷰
The only thing I missed in this course (and specialization) was more visual, intuitive approach to explanation. Programming assignments are rewarding.
after 2 week rest weeks are fun with Alexander S. Kulikov.
Daniel M kane, does not meet our need.
But overall this course has many thing to learn.
Excellent course. One star less just because there are not very clean test cases for one particular problem among programming assignments
Another great course in this specialization with challenging and interesting assignments. However, this one is somewhat harder but rewarding.
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