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"I can speak as someone who spent 10 years getting a Ph.D. at one of the top universities in the country, working with the data to get it to pass muster," she told me the first time we met, over breakfast at a restaurant near her office.
Making the trees involved a lot of hand editing of the data to get it into the right format, so I began writing scripts--short, simple programs--to do the editing for me.
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Ingested data typically goes through some form of ingest processing – a standard set of codes that are applied to all data in order to get it ready for users.
Time series data also requires data preprocessing in order to get it normalized prior to the analysis.
This makes it different from other machine learning techniques — like Supervised Learning, for example — as it doesn't require any labeled training data to get started, and it can make short-term decisions while optimizing for a long-term goal.
But "you have to get the data, and the way to get it is to put the cap on there with control-and-flow equipment and obtain the data," he said.
In 2009 Tim Berners-Lee, the inventor of the World Wide Web, described the power of linked data, the crucial need to get it 'unlocked from individual silos,' and the imperative to stop people, governments, and enterprises from 'database hugging' [1].
And if that isn't enough, layoffs have put some very smart and talented people out of work with detailed knowledge about where valuable data is and how to get it.
So for the data to get around the world, it creates an even longer natural load time.
You may want to try this out on some simple sample data to get the hang of it first.
But aggregating data you're not going to get it from your social circle.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com