Results for "analysis of parallel algorithms"
EIT Digital
Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Theoretical Computer Science, Linear Algebra
Status: PreviewSkills you'll gain: Algorithms, Technical Communication, Pseudocode, Computational Thinking, Solution Design, Programming Principles, Software Design, Theoretical Computer Science, Data Structures, Mathematical Modeling, Applied Mathematics, Computer Science
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Programming Principles, Pseudocode, Theoretical Computer Science, Data Structures, Computer Programming, Performance Tuning
EIT Digital
Skills you'll gain: Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, File Systems, Data Access, Performance Tuning, Computer Hardware
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Pseudocode, Computational Thinking, Data Structures, Graph Theory, Network Analysis, Probability, Probability & Statistics
Status: PreviewNortheastern University
Skills you'll gain: Algorithms, Theoretical Computer Science, Data Structures, Computational Thinking, Analysis, Computer Science, Software Development, Scalability
Status: Free TrialTsinghua University
Skills you'll gain: Data Structures, Algorithms, Graph Theory, Computational Thinking, Programming Principles, Computer Programming
Status: Free TrialStanford University
Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Computational Thinking, Data Structures, Pseudocode, Operations Research
Status: PreviewNortheastern University
Skills you'll gain: Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving
Duke University
Skills you'll gain: Scalability, Performance Analysis, Simulations, Algorithms, Complex Problem Solving, Theoretical Computer Science, Python Programming, Data Structures, Software Architecture, Software Engineering
Status: Free TrialSkills you'll gain: Graph Theory, Data Structures, Algorithms, Computational Thinking, Performance Tuning
Status: NewStatus: PreviewBirla Institute of Technology & Science, Pilani
Skills you'll gain: Computer Science, Machine Learning Algorithms, Solution Design, Problem Solving, Mathematical Theory & Analysis, Scalability
In summary, here are 10 of our most popular analysis of parallel algorithms courses
- Approximation Algorithms: EIT Digital
- Algorithmic Solutions: Design, Problem Solving, Reporting: Coursera
- Program Structure and Algorithms Part 1: Northeastern University
- I/O-efficient algorithms: EIT Digital
- Program Structure and Algorithms Part 2: Northeastern University
- Data Structures & Algos: Software Development Skills: Northeastern University
- Data Structures and Algorithms (II): Tsinghua University
- Shortest Paths Revisited, NP-Complete Problems and What To Do About Them: Stanford University
- Machine Learning for Engineers: Algorithms and Applications: Northeastern University
- Understand Big O Notation in Python: Duke University
