The badge earner can describe point estimation techniques, apply ML algorithms to perceptrons, neural network models, support vector machines, and k-nearest neighbors and can also identify subtleties and application scenarios for the algorithms listed and can apply regularization, over-fitting, maximum likelihood estimation, gradient descent, back-propagation, Lagrange for solving constrained optimization problems, bias-variance tradeoff, and curse of dimensionality to design efficient ML models

• Type Validation
• Level Advanced
• Time Weeks
• Cost Paid