Interested in online learning?

Edukatico will keep you updated from time to time. (You can stop this at any time.)

Provider: ETH Zürich
Go to online course
Transparency note: Some course providers support the operation of our search portal with referral commissions.

Content

This online lecture series presents the theory of fundamental machine learning concepts


Topics covered in the video lectures include:

  • Bayesian theory of optimal decisions
  • Maximum likelihood and Bayesian parameter inference
  • Classification with discriminant functions: Perceptrons, Fisher's LDA and support vector machines (SVM)
  • Ensemble methods: Bagging and Boosting
  • Regression: least squares, ridge and LASSO penalization, non-linear regression and the bias-variance trade-off
  • Non parametric density estimation: Parzen windows, nearest neighbour
  • Dimension reduction: principal component analysis (PCA) and beyond


(Also check out this list of various online courses on the topic of AI.)

ETH Zürich

Teacher: Buhmann Joachim Maximilian
Provided by: ETH Zürich
Course language: English
Fees: free course
Level: beginner
Certificate possible?
Format: video lecture
Go to online course
Transparency note: Some course providers support the operation of our search portal with referral commissions.

How do you like the course 'Machine Learning'?

Other online courses in Computer Science, IT