Upcoming Course Description
Master Linear and Nonlinear Optimization in Python
Understand the fundamentals of linear and nonlinear optimization, including theory and practical applications of different solvers, in Python.
Analyze and Compare Optimization Algorithms
Learn how to analyze and compare various optimization algorithms based on their benefits, limitations, and use-cases, and apply them to real-world problems.
Optimize Real-World Data with Python
Develop proficiency in implementing partial and second-order derivative optimization algorithms in Python, and apply them to real-world data for decision-making and performance improvement.
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What will I learn in this course?
What programming skills do I need to take this course?
Can I take this course if I am new to optimization concepts?
Can I apply the optimization techniques learned in this course to my own projects?
Is there a certificate of completion for this course?
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