Application of probability in computer science
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There are many applications, but the more famous ones are related to interpreting data and Machine Learning.
For example, let’s say that Google wants to show you the best search results when you are consulting it. It cannot possibly know exactly what you like the most, and exactly what you mean when you type something. But using the data you type, it can actually put it in a probability-driven algorithm of what you want to mean, and get closer and closer to what your tastes are. That is how they know how to display the best ads to you, things that you might be interested on, and make your computer researching experience more personal.
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What is the application of probability in computer science?
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Pedrenrique Gonçalves Guimarães, B. S. Computer Science, Universidade Estadual Paulista - UNESP (2018)
Answered Mar 31 2018
There are many applications, but the more famous ones are related to interpreting data and Machine Learning.
For example, let’s say that Google wants to show you the best search results when you are consulting it. It cannot possibly know exactly what you like the most, and exactly what you mean when you type something. But using the data you type, it can actually put it in a probability-driven algorithm of what you want to mean, and get closer and closer to what your tastes are. That is how they know how to display the best ads to you, things that you might be interested on, and make your computer researching experience more personal.
When it comes to Machine Learning, they use probability distributions to “calibrate” algorithms, and make the computer actually
it is a best ans..........8 hope. okkkkyyy
Still have a question? Ask your own!
What is your question?
3 ANSWERS

Pedrenrique Gonçalves Guimarães, B. S. Computer Science, Universidade Estadual Paulista - UNESP (2018)
Answered Mar 31 2018
There are many applications, but the more famous ones are related to interpreting data and Machine Learning.
For example, let’s say that Google wants to show you the best search results when you are consulting it. It cannot possibly know exactly what you like the most, and exactly what you mean when you type something. But using the data you type, it can actually put it in a probability-driven algorithm of what you want to mean, and get closer and closer to what your tastes are. That is how they know how to display the best ads to you, things that you might be interested on, and make your computer researching experience more personal.
When it comes to Machine Learning, they use probability distributions to “calibrate” algorithms, and make the computer actually
it is a best ans..........8 hope. okkkkyyy
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