The beat with Ari Melber starts right now. Happy monday. Happy monday and thank you, i appreciate it. I welcome everyone to The Beat and we begin the program covering the developments in the terrible, Near Miss Type Incident at Donald Trumps Golf Course on sunday. The secret Service Opening Fire after seeing a gun that was pointed inside the course, inside the area where the former president was. More details on exactly that exchange of gunfire and what happened and i can tell you with the most recent information, federal authorities are treating this as a second Assassination Attempt. The first occurred at the Pennsylvania Rally with shots fired, agents killing the shooter, and a Rally Attendee being fatally shot. Here, authorities have apprehended the suspected gunman, alive. 58yearold Ryan Routh charged with two federal counts of gun possession. The authorities are stressing how the investigation for determining the motive, thats an ongoing investigation and they also praised the re
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Conditional entropy is an important concept that naturally arises in fields such as finance, sociology, and intelligent decision making when solving problems involving statistical inferences. Formally speaking, given two random variables X and Y, one is interested in the amount and direction of information flow between X and Y . It helps to draw conclusions about Y while only observing X. Conditional entropy H(Y |X) quantifies the amount of information flow from X to Y . In practice, calculating H(Y |X) exactly is infeasible. Current estimation methods are complex and suffer from estimation bias issues. In this paper, we present a simple Machine Learning based estimation method. Our method can be used to estimate H(Y |X) for discrete X and bi-valued Y. Given X and Y observations, we first construct a natural binary classification training dataset. We then train a supervised learning algorithm on this dataset, and use its prediction accuracy to estimate H(Y |X). We also present a simple