Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

We study the decentralized online regularized linear regression algorithm over random time-varying graphs. At each time step, every node runs an online estimation algorithm consisting of an innovation ...

SymINDy is a new algorithm for the reconstruction of non-linear dynamics. It uses symbolic regression and SINDy algorithm to recover the systems of equations from time-series observations. It is free ...

Linear regression is one of the first algorithms taught to beginners in the field of machine learning. Linear regression helps us understand how machine learning works at the basic level by ...

# and plots the actual versus predicted response variables. # Compare the R2 of the results using your algorithm to the R2 of the results using lm() and predict(). # Document each step of the code to ...

A regression model is an algorithm that tries to fit itself to the presented data best. In essence, it is a line of best fit. ... Step 4 – Generate regression line on scatter graph: ...