The sixth speaker of the webinar series Deep Diving into Physics, Prof. Manish Dev Shrimali, Central University of Rajasthan, Ajmer introduced the concepts of Machine Learning to our students.

Abstract:

Machine learning is the computational framework to make computers perform intelligent tasks where a machine figures out its own rules by analyzing a sufficient number of given examples. Reservoir Computing (RC) is a machine learning framework where a dynamical system is used to perform the data analysis instead of a traditional computer. This RC is a promising architecture as it requires very small training data sets, uses linear optimization, and thus requires minimal computing resources. It uses the dynamical system itself as a computing substrate to encode the input into high-dimensional states and a linear readout to analyze those patterns to extract the required output.