Gradient Descent
An optimization algorithm used to minimize a function by iteratively adjusting parameters in the direction of the steepest descent of the function.
Diskettescapes
We’re diving into oceans of ones and zeros, in the world of data, we shine.
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Data Imputation
The process of filling in missing values in a dataset using statistical methods or algorithms to maintain data integrity and analysis accuracy.
Support Vector Machines
A supervised learning algorithm that finds the optimal hyperplane to separate different classes in a high-dimensional space, maximizing the margin between the closest data points of each class.