- The Discipline of Machine Learning by Tom Mitchell
- Introduction to Support Vector Machines - Dustin Boswell
- Fast Training of Support Vector Machines using Sequential Minimal Optimization
- Introduction to linear regression
- The elements of statistical learning (book)
- Survey of Clustering Algorithms
- Supervised Machine Learning: A Review of Classification Techniques
- Ensemble Methods in Machine Learning
- The Boosting Approach to Machine Learning
- K-means clustering via principal component analysis
- Dimensionality Reduction
- Unsupervised Learning by Probabilistic Latent Semantic Analysis
- Classes of Kernels for Machine Learning:A Statistics Perspective
- Bayesian inference: An introduction to principles and practice in machine learning
- An Introduction to MCMC for Machine Learning
- Supervised machine learning: A review of classification techniques
- Linear Algebra Refresher
- Bayesian Modelling in Machine Learning: A Tutorial Review

Comments are closed.

Hi Adnan,

very good links!! Thank you very much!!

I just like to let you know that the link http://www.unbox.org/stuffed/export/1168/doc/04dingClusteringPca.pdf is broken.

Cheers,

Sergio Silva.

Thanks Sergio for pointing out the broken link. It has been fixed.

http://ranger.uta.edu/~chqding/papers/KmeansPCA1.pdf