SMO (Sequential Minimal Optimization) is an algorithm used to solve complex optimization problems. It is most commonly used in the field of machine learning and is an iterative method for minimizing a function. SMO works by breaking down a large optimization problem into smaller sub-problems and then iteratively solving those sub-problems. This is done by alternating between two steps: finding the best pair of variables to optimize and then optimizing those variables. You can hire professional SMO services in Delhi for your company.
What is SMO algorithm?