Discrete Optimization in Data Science: Heuristic and Metaheuristic Methods
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
What is optimization
Some real-life situations where we need to optimize an objective
The mathematical formalism of optimization
How discrete optimization (Combinatorics) differs from continuous optimization
Different approaches to solve a Combinatorics problem, including— The simplest, perfect but slow ‘Brute Force’ method. One of the fastest and practicable ‘Greedy’ heuristic.A look-ahead mechanism to refine the greedy approach.
This comprehensive Discrete Optimization Data Science Heuristic & Metaheuristic curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
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Course Instructor
Up Degree
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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