Mathematical Statistics good for Computer Scientists?

AI Thread Summary
Statistics is a valuable course for Computer Science students, despite some peers considering it unnecessary. Understanding statistics is crucial for various fields within computer science, including neural networks, image processing, pattern recognition, and artificial intelligence. Knowledge of statistics enhances analytical skills and is beneficial for those interested in computational physics, particularly in areas like Brownian motion and random walks. Overall, taking the Statistics course is recommended, as it equips students with essential skills applicable in many advanced areas of computer science.
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I am finished with the first bachelor year at Computer Science and the next courses are: Assembly, Linear Algebra, Statistics, Java. Many people from my class said that they will not take Statistics as it's not that helpful to them and I was thinking of how accurate that is. Is Statistics something that a Computer Scientist will use? Else I could just pick up an other course to replace Statistics.
 
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I think it depends on what you are interested in. If you like computational physics, it will not be too bad to know statistics: Brownian motion and random walks.

But knowing statistics in general is a good skill to have, I think at least.
 
Everyone should know statistics. Take the course. ;)

Also, Java? Blegh.
 
There are a lot of areas in CS that require some very good statistical analysis. Neural networks, image processing, pattern recognition, artificial intelligence... these are some things that come to my mind when I think CS and stats.
 
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