How did the Machine correlate data over time if its memories were being erased?

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In the TV series, Person of Interest, Harold Finch claims that, at one point, most of the Machine's memories were erased at midnight in order to keep it from becoming too powerful.

If that's the case, how did it correlate information over time in order to identify numbers? Also, why didn't it just forget about all the training that it did with Harold, forcing him to start over training it every day?

For example, a key piece of information in figuring out that a corrupt FBI agent was planning to sell plutonium was the fact that he kept going to the same gas station (even if he didn't need gas). How would the Machine know that if its memories were being erased?






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What is data correlation in machine learning?

Data correlation is the way in which one set of data may correspond to another set. In ML, think of how your features correspond with your output. For example, the image below visualizes a dataset of brain size versus body size. Notice that as the body size increases, so does the brain size.

Why is correlation important in machine learning?

Correlation is an indication about the changes between two variables. In our previous chapters, we have discussed Pearson's Correlation coefficients and the importance of Correlation too. We can plot correlation matrix to show which variable is having a high or low correlation in respect to another variable.

How do you determine if two sets of data are correlated?

The correlation coefficient is determined by dividing the covariance by the product of the two variables' standard deviations. Standard deviation is a measure of the dispersion of data from its average. Covariance is a measure of how two variables change together.

What is highly correlated data?

In many datasets we find some of the features which are highly correlated that means which are some what linearly dependent with other features. These features contribute very less in predicting the output but increses the computational cost. This data science python source code does the following: 1.



How computer memory works - Kanawat Senanan




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