How to decline the type 2 error using a certain machine learning model.
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Give a list of strings, find the mapping from 1-26 for each string that maximize the value for each string. No distingulish between capital letter and lower case, other characters do not count.
Si 1600 abejas completan una colmena en 50 días, cuánto tardan 2000 abejas
Sort lines in a txt file by one of the columns using shell scripting.
You have three fair coins. You repetitively flip all coins together. After each round you remove the coins that show tails. What is the expected number of rounds until you have no coins left to flip?
What are the assumptions for a linear regression?
what is standard error of the mean?
Can you add 1-100 together right now? Do this by adding 1+2+3 etc all the way to 100.
Phone Interview #2 You are playing a game of baseball. There are two outs in the bottom of the ninth, and you are down by one run. You are currently a baserunner on first base. [Obviously, you must score or else the game ends]. A)You are trying to figure out if you should steal second base or not. What kind of information do you need to know to inform this decision? B) Every batter in your lineup has identical odds.They get a single 50% of the time and they strike out 50% of the time. If you are on first base, you cannot score on a single. If you are on second, you are guaranteed to score on a single. You successfully steal 75% of the time. Should you steal? [I may be missing some of the nonsense here, but this is all the relevant information] C) It turns out the pitcher acts a bit differently with a runner on second [regardless of who the batter is] and no other runners on base. Under these circumstances, he is 50% to strike them out, 40% to surrender a walk, and 10% to surrender a hit. How does this change things/ should you steal?
You observed two gambing machines for a period of time: one of them occasionally give rewards; the other one never give any rewards. Which one do you pick to play with?
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