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Mathematical Optimization

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124 results for "mathematical optimization"

DeepLearning.AI
Calculus for Machine Learning and Data Science
Skills you'll gain: Algorithms, Calculus, Mathematics, Theoretical Computer Science, Machine Learning, Mathematical Theory & Analysis, Machine Learning Algorithms, Artificial Neural Networks, Deep Learning, Differential Equations, Probability & Statistics, Regression, Statistical Machine Learning, Algebra, Econometrics, General Statistics, Python Programming
4.8
(61 reviews)
Beginner · Course · 1-4 Weeks
University of California, Davis
Introduction to Google SEO
Skills you'll gain: Communication, Digital Marketing, Marketing, MarTech, Search Engine Optimization, Brand Management, Influencing, Marketing Management, Research and Design, Market Analysis, Marketing Design, Persona Research, Social Media, Algorithms, Back-End Web Development, Human Computer Interaction, Strategy, Theoretical Computer Science, User Experience, Web Development
4.6
(9.5k reviews)
Beginner · Course · 1-4 Weeks
Free
Free
University of California, Irvine
Mobile Marketing, Optimization Tactics, and Analytics
Skills you'll gain: Computer Programming, Marketing, Digital Marketing, Entrepreneurship, Leadership and Management, Mobile Development, Application Development, Communication, Data Analysis, Market Research, Research and Design, Sales, Software Engineering, Search Engine Optimization
4.8
(29 reviews)
Beginner · Course · 1-4 Weeks
Free

In summary, here are 10 of our most popular mathematical optimization courses

Calculus for Machine Learning and Data Science: DeepLearning.AI
Introduction to Google SEO: University of California, Davis
Operations Research (1): Models and Applications: National Taiwan University
Business Analytics for Decision Making: University of Colorado Boulder
Operations Research (3): Theory: National Taiwan University
Optimization for Decision Making: University of Minnesota
Mobile Marketing, Optimization Tactics, and Analytics: University of California, Irvine
Job Shop Scheduling Using MILP Optimization on RStudio: Coursera Project Network
ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera Project Network
Line Balancing With MILP Optimization In RStudio: Coursera Project Network

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