Machine Learning IISC

Hey I am doing the Computer Science & Automation course from the IISC so need the syllabus for the Machine Learning subject so can you please provide me the same ?

Well the Indian Institute of Science is a public university for scientific research and higher education located in Bangalore, India.


Machine Learning subject Syllabus (Tentative)

Introduction to machine learning. Supervised learning: classification (generative and
discriminative probabilistic models, support vector machines, nearest neighbor, decision
trees, VC-dimension, generalization error bounds); regression (least squares regression,
support vector regression). Unsupervised learning: mixture models, EM algorithm.
Directed and undirected graphical models (hidden Markov models, Bayesian networks,
Markov random fields, conditional random fields). Additional learning settings: online
learning (perceptron, winnow); semi-supervised and active learning; reinforcement
learning. Gaussian processes. Ensemble learning (boosting). Advanced lectures on
selected topics.


Grading

5-6 assignments, ~25%

Midterm exam, ~20%

Final exam, ~30%

Course project, ~25%

Recommended textbooks:

C.M. Bishop, Pattern Recognition and Machine Learning. Springer, 2006.

R.O. Duda, P.E. Hart and D.G. Stork. Pattern Classification. Wiley-Interscience, 2nd
Edition, 2000.

Additional textbooks:

T. Hastie, R. Tibshirani and J. Friedman, The Elements of Statistical Learning: Data
Mining, Inference and Prediction. Springer, 2nd Edition, 2009. [free download available]

T. Mitchell, Machine Learning. McGraw Hill, 1997.


Address:

Indian Institute of Science

C V Raman Ave,

Bengaluru, Karnataka 560012

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