Dear friends I have attached here a pdf on machine learning and data mining. There are important notes on this topic. I am sure these notes will help you. Let me know if you need more.

Following chapters are in this ebook:

  1. Introduction to Machine Learning
  2. Linear Regression
  3. Nonlinear Regression
  4. Quadratics
  5. Basic Probability Theory
  6. Probability Density Functions (PDFs)
  7. Estimation
  8. Classification
  9. Gradient Descent
  10. Cross Validation
  11. Bayesian Methods
  12. Monte Carlo Methods
  13. Principal Components Analysis
  14. Lagrange Multipliers
  15. Clustering
  16. Hidden Markov Models
  17. Support Vector Machines
  18. AdaBoost