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Results for "introduction optimization"

Status: New
Status: Preview
Birla Institute of Technology & Science, Pilani
Algorithm Design: Mastering Computational Problem Solving
Skills you'll gain: Computer Science, Problem Solving, Mathematical Theory & Analysis, Scalability
Beginner · Course · 1 - 3 Months
Status: New
Status: Preview
Northeastern University
Program Structure and Algorithms Part 2
Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Computational Thinking, Data Structures, Graph Theory, Network Analysis, Probability, Probability & Statistics, Analysis
Mixed · Course · 1 - 3 Months
EIT Digital
Approximation Algorithms
Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Theoretical Computer Science, Linear Algebra
4.7
Rating, 4.7 out of 5 stars
33 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Stanford University
Shortest Paths Revisited, NP-Complete Problems and What To Do About Them
Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Computational Thinking, Data Structures, Operations Research, Design Strategies
4.8
Rating, 4.8 out of 5 stars
826 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Optimize TensorFlow Models For Deployment with TensorRT
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Performance Tuning, Machine Learning Methods, Python Programming
4.5
Rating, 4.5 out of 5 stars
76 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free
Princeton University
Computer Science: Algorithms, Theory, and Machines
Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Computational Thinking, Java Programming, Computer Hardware
4.7
Rating, 4.7 out of 5 stars
720 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Stanford University
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science
4.8
Rating, 4.8 out of 5 stars
1.3K reviews
Intermediate · Course · 1 - 4 Weeks
Status: New
Status: Preview
Arm
Optimizing Generative AI on Arm Processors
Skills you'll gain: Generative AI, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Tensorflow, Applied Machine Learning, Application Deployment, Performance Tuning, Hardware Architecture, Computer Architecture, Deep Learning, Scalability
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of California San Diego
Algorithmic Toolbox
Skills you'll gain: Algorithms, Program Development, Debugging, Development Testing, Test Engineering, Software Testing, Computational Thinking, Test Case, Computer Programming, Programming Principles, Data Structures, Theoretical Computer Science, Bioinformatics, Design Strategies
4.6
Rating, 4.6 out of 5 stars
13K reviews
Intermediate · Course · 1 - 3 Months

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In summary, here are 9 of our most popular introduction optimization courses

Algorithm Design: Mastering Computational Problem Solving: Birla Institute of Technology & Science, Pilani
Program Structure and Algorithms Part 2: Northeastern University
Approximation Algorithms: EIT Digital
Shortest Paths Revisited, NP-Complete Problems and What To Do About Them: Stanford University
Optimize TensorFlow Models For Deployment with TensorRT: Coursera Project Network
Computer Science: Algorithms, Theory, and Machines: Princeton University
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
Optimizing Generative AI on Arm Processors: Arm
Algorithmic Toolbox: University of California San Diego