Foundations of Machine Learning Algorithms (MA722)

Course Name: 

Foundations of Machine Learning Algorithms

Programme: 

M.Tech (CDS)

Semester: 

First

Category: 

Programme Core (PC)

Credits (L-T-P): 

(3-0-2) 4

Content: 

Foundations of Linear Algebra and Matrix Theory, Introduction to Learning, Different learning models: Supervised,
Unsupervised, reinforcement etc., Dimensionality reduction (Linear): PCA, LDA etc. Bayesian Learning: QDA, LDA,
Bayesian belief network, Decision tree learning, Conceptual Learning, Artificial Neural Nets, Classification, regression
and clustering: SVM, Kernel SVM, Linear and Logistic regression, KNN, K-Means. Reinforcement learning

References: 

EthemAlpaydin, “Introduction to machine learning”, second edition, PHI publication, 2010. Tom Mitchell, “Machine Learning”, McGraw Hill, 1997 Christopher M. Bishop, “Pattern Recognition and Machine Learning”, Springer, 2006.

Department: 

Mathematical and Computational Sciences
 

Contact us

Dr. P. Sam Johnson, Professor and Head
Department of MACS, NITK, Surathkal
P. O. Srinivasnagar, Mangalore - 575 025
Karnataka, India.

  • Hot line: +91-0824-2474048

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