Northeastern University
Foundations of Statistical Learning & Algorithms
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 inferen…
- Coursera
- 4 weeks of study, 4-6 hours/week
- Self-paced
- Paid · free trial
- Paid certificate


































