Machine Learning, Data Engineering, Algorithms, Predictive Modeling, Predictive Analytics.
error from the previous time step and Eest for t. Why do we do it? Given that we estimate on top of mea, we are factoring in on how much the error mea (Emea) is contributing to our Eest for t. We can keep doing this and overtime Kalman filter will converge closest to true value. To keep this post