Advanced Machine Learning
Issued by
Binghamton University
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 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 Hours
- Cost Paid
Skills
Earning Criteria
-
This course is open to all engineers, professionals, faculty, and college-level students.
-
This is a self-paced, online course that will require 30-35 hours to complete. Topics include probability review and point estimation, perceptrons and neural networks, and support vector machines. The course emphasizes essential techniques such as maximum likelihood estimation, regularization, bias-variance tradeoff, and the curse of dimensionality. Includes self-assessments (non-graded) and a final exam (graded).
-
To earn this credential the learner must pass the final exam with a score of 70% or higher.
-
$325.00 - standard/industry; $210.00 - BU faculty, staff, and alumni; $135.00 - BU students and high school students; $35.00 - retake fee for students; $50.00 - retake fee for others (previous registration/payment will be verified).