[100% Free] Machine Learning (MASTER Degree)

Machine Learning Master Degree

What you'll learn

• Introduction to machine learning.
• Linear prediction
• Maximum likelihood and linear prediction
• Ridge, nonlinear regression with basis functions and Cross-validation
• Bayesian learning
• Gaussian processes for nonlinear regression
• Bayesian optimization, Thompson sampling and bandits
• Decision trees
• Random forests
• Spring break
• Random forests applications
• Unconstrained optimization
• Gradient descent and Newton's method
• Logistic regression, IRLS and importance sampling
• Neural networks
• Deep learning
• Importance sampling and MCMC
• Constrained optimization, Lagrangians and duality
• Application to penalized maximum likelihood and Lasso

This course includes

• 22 hours on-demand video
• 9 articles
• 68 downloadable resources
• Full lifetime access
• Access on mobile and TV
• Certificate of Completion

Source: www.Udemy.com