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XML, HTML and less formal languages all respond quite nicely to being transformed or interrogated within a graph framework. XML and HTML are particularly useful in that they conform strictly to a tree-structure. That means that any good data components can be measured in terms of tree-distance to any other "good" data components. If you extract your regex-...


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I suggest you should use AI Regression Model for future predictions for an attendance of students. Because of this technique or model design for future predictions. Follow this to get more information about regression type and methodology


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I can't speak to wit.ai specifically, but I can tell you a little bit about how similar applications work. Specifically, I can talk a bit about Apache Stanbol which also converts free text into structured data. That said, I should prefix this by saying there isn't just one way to "get there from here." Many techniques could be part of a stack for ...


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It all depends on the quality of data. Due to old rule "Garbage in, garbage out" link , if you have bad quality data(data redundancy, unstructured data, too much memory, etc) your results won't be spectacular. In other cases, everybody could be a Data Scientist, because its only task was "put raw text into classifier". Also, you should remember that BERT ...


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Is your question about storing, writing, or reading/processing huge data? I'm not an expert in this topic, but I know a couple of possible ways to handle huge datasets: If the data is too big to be fully uploaded to RAM, you can iterate over it in Pandas. You can find a brief explanation in the article Why and How to Use Pandas with Large Data, section 1. ...


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Yes, ICP for Data can run on any public cloud infrastructure as long as it supports Docker containers and Kubernetes. Already tested: Amazon AWS, IBM Cloud, Azure, and Red Hat OpenStack


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@SmallChess's answer is a good start, but there are some additional parts to the question. binary variables or binary data consist of data with the values 0 or 1, and no other values. We usually don't talk about "binary distributions", because it's only data, variables, or outcomes that can be binary. A distribution might produce binary data, but is not ...


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You would need to define 'frames', 'templates', or sets of data belonging together to form an address or other kind of data, with typical labels. So phone or tel etc would indicate a phone number, provided that their content also looks like a phone number. That's how you as a human recognise it. So you encode your domain knowledge as entities with possible ...


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Because you have a small number of students (30), and a short time (one week), the number of absences is likely to be best modelled as a Poisson distribution. Poisson Formula The average number of absences within a given time period is μ (use your data to estimate this). Then, the Poisson probability of x absences is: P(x; μ) = (e-μ) (μx) / x! where e ...


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