Machine Learning, Tom Mitchell, McGraw Hill.

I have begun writing some new chapters for a possible second edition of Machine Learning, and will post these chapters on this page as they become available. These chapters augment the material available in the first edition.  

Policy on use:. You are welcome to download these chapters for your personal use, or for use in classes you teach. In return, I ask only two things:
 

• Please do not re-post these documents on the internet. If you wish to make them available to your students, point them directly to this site.
   
  
• If you find errors please send me email at Tom.Mitchell@cmu.edu

I hope you find these useful!
Tom Mitchell  

Downloads:
 

• Estimating Probabilities: MLE and MAP
  • draft of September, 2017.

• Generative and Discriminative Classifiers: Naive Bayes and Logistic Regression
  • draft of September, 2017.

• Key Ideas in Machine Learning
  • draft of December, 2017.

• Learning from Labeled and Unlabeled Data
  • comming soon

Go back to the Machine Learning book homepage.