Foundations of Statistical Learning & Algorithms
By Coursera
on Coursera
· Technology
About This Course
This course covers linear algebra, probability, and optimization. It begins with systems of equations, matrix operations, vector spaces, and eigenvalues. Advanced topics include Cholesky and singular value decomposition. Probability modules address Bayes' theorem, Gaussian distribution, and inference techniques. The course concludes with model selection methods and an introduction to optimization.
Instructor
Rehab Ali
Frequently Asked Questions
How much does Foundations of Statistical Learning & Algorithms cost?
Visit the Foundations of Statistical Learning & Algorithms course page for current pricing and available discounts.
Who teaches Foundations of Statistical Learning & Algorithms?
Foundations of Statistical Learning & Algorithms is taught by Rehab Ali, Northeastern University .
What skill level is Foundations of Statistical Learning & Algorithms for?
This course is designed for beginner learners.