Machine Learning 101: Introduction to Machine Learning -Free Course

Get Machine Learning 101: Introduction to Machine Learning course for free. Introductory Machine Learning course covering theory, algorithms, and applications. This course is absolutely free.No coupon required to avail of this course. Offer valid for a limited period only.

What you’ll learn

  • The Learning Problem
  • Learning from Data
  • Is Learning Feasible?
  • The Linear Model
  • Error and Noise
  • Training versus Testing
  • Theory of Generalization
  • The VC Dimension
  • Bias-Variance Tradeoff
  • Neural Networks
  • Overfitting
  • Regularization
  • Validation
  • Support Vector Machines
  • Kernel Methods
  • Radial Basis Functions
  • Three Learning Principles
  • Epilogue
  • What is learning?
  • Can a machine learn?
  • Identify basic theoretical principles, algorithms, and applications of Machine Learning
  • Elaborate on the connections between theory and practice in Machine Learning
  • Master the mathematical and heuristic aspects of Machine Learning and their applications to real-world situations
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