Probability extra credit PDF

Title Probability extra credit
Author Avyay Suri
Course Data Analysis
Institution DePaul University
Pages 3
File Size 55.5 KB
File Type PDF
Total Downloads 9
Total Views 135

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Download Probability extra credit PDF


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Avyay Suri

Professor Adelakun

IT 223

2/29/20

Probability Write-up

The first panelist is Masoud Mohseni who works for Google and is a senior research scientist at Google’s quantum artificial intelligence laboratory. The second panelist is Leonard Mlodinow who is theoretical physicists. The third panelist is Robert Green w ho is a geneticist at Harvard. The fourth panelist is Alan Peters who is an electrical engineering professor at Vanderbilt.

Masoud Mohseni talks about probability in quantum computing. At the quantum computing lab at Google they are building quantum computers that can process data so much faster than conventional computers. Mohseni uses probability for the quantum computer to work because these computers work on random variables instead of 1 and 0 like conventional computers. Probability is used in a quantum computer to be able to do calculations before the object’s state is measured.

Leonard Mlodinow is a theoretical physicist and he talks about the Monty Hall problem. The Monty Hall problem is that there are 3 doors, 2 doors have nothing of value behind them and one door has a brand-new car behind it. You have the option to pick one

door out of the three. You pick a door and then Monty Hall opens a door that does not have the grand prize behind it. Then you get an option to switch your door or keep your original choice. The chances of winning the car at the start of the game is 1/3 now that the contents of one door is revealed there is a ½ chance that you win the car. So, in this case you should switch your door according to probability.

Robert Green is a geneticist and tells us about the use of probability in medicine. He talks about using probability for diagnosing a problem based on symptoms. This reminds of Webmds feature where you can enter your gender and age, then it will ask for all the symptoms that you are experiencing. Then it will give you top three most probable health issues that you could have related to the entered data. This uses probability. Through the gathering of data from people and noting down symptoms that correspond to their disease, probability can be used to identify the health issue.

Alan Peters is an electrical engineering professor and he talks about probability in driverless cars. He says that driverless cars rely on probability and react on what happens in the world around them. Driverless cars make models of the world around them and base their calculation on that model. A parked car is going to have a lower probability of danger of hitting you as compared to a car that is in motion. The probabilities narrow as the car gathers more data and moves along. The car comes down to one decision and then makes an action. When the car can not come to a decision because there are too may probabilities then it will come to a stop and hand over control to the driver.

My major here at DePaul is Management in Information Systems and my minor is in data sciences. For this degree it is crucial to be knowledgeable about databases, networks, computer security. This degree is used to manage business operations using technology. Probability could be useful to make these useful business decisions. For example, with an MIS degree I can work at some tech firm and make decisions using probability. I could collect data and measure the risk with probability and so much more. My minor is more closely related to probability. With data science it is all about statistics. Data science is based on the collection of data. Data is what is used for probability. I have done some probability work in high school but I’m glad to be diving deeper in to this subject.

I have a good amount of experience with simple probability. Compound probability is a mathematical term relating to the likeliness of two independent events occurring. Compound probability is equal to the probability of the first event multiplied by the probability of the second event (Investopedia) . With compound interest I have done it before, but I do not remember much of it. With conditional probability it is one event occurring with some relationship to one or more other events. I remember compound probability very well and have used it in computer sciences classes for “if” functions. I have not heard about expected value before this class. I hope to diver deeper in expected value in the future and with the use of this class....


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