Advanced Machine Learning algorithms (MA726)
Course Name:
Advanced Machine Learning algorithms
Programme:
M.Tech (CDS)
Semester:
Second
Category:
Programme Core (PC)
Credits (L-T-P):
(3-0-2) 4
Content:
Recap of the machine learning algorithms, Non-linear dimensionality reduction: LLE, ISOMAPS, LAPLACIAN EIGEN
MAPS etc., Recap of ANN, Backpropagation, Deep and Shallow networks, Recurrent neural nets, Convolutional Neural
nets, Different activation functions: Relu, Sigmoid, Tanh, Leaky Relu etc. Generative adversarial networks. Applications
of Deep Networks,
References:
Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning, MIT Press, 2016
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
