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  1. What is KF (Kalman filter)? 

Kalman filtering is an algorithm that gives evaluations of some obscure factors provided the estimations observed over time. It is an algorithm that utilizes a progression of estimations observed over time. It incorporates statistical noise and different inaccuracies. It makes evaluations of unknown factors that tend to be more accurate than those based on a single measurement alone, by estimating a joint probability appropriation over the variables for each timeframe. 

  1. What is KNN (k-nearest-neighbor)? 

The K-NN algorithm expects the similarity between the new data and accessible cases and puts the new case into the classification that is generally like the accessible classifications. K-NN algorithm saves all the accessible information and groups another information point dependent on the similitude. It is used for Classification problems. The KNN algorithm when gets new information, it characterizes that information into a class that is much like the new information. 

  1. What is KPI (Key Performance Indicator)? 

KPIs assess the accomplishment of an association or of a specific action. Key performance indicators (KPIs) allude to a bunch of quantifiable estimations used to measure a company’s overall long-term performance. Process-focused KPIs objective to quantify and screen functional execution across the association. 

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