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Qlika's Big Data engine parses demographic data, customer data and dozens of other sources to start identifying answers to questions, like, "are customer demographics in Austin more similar to San Francisco, or New York City".
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Users can search enormous amounts of data and quickly identify answers to questions.
The case and control groups were identified based on their answers to questions as to overall insomnia, onset insomnia, middle insomnia, and terminal insomnia.
The case and control groups were identified based on their answers to questions as to overall insomnia, onset insomnia (difficulty in falling asleep), middle insomnia (difficulty in maintaining sleep or returning to sleep after awakening in the middle of the night), and terminal insomnia (early awakening in the morning).
The discussion of each approach examines its chief assertions, its answers to questions identified above, leading arguments in its favor, and its chief difficulties.
The distracters for each item represent the conceptual difficulties we previously identified as common in student answers to questions targeting particular core concepts (Hiatt et al., 2013; Table 4).
Wong's research surveyed 135 kids in one Vancouver school, of which 11percentt were identified as bullies based on their answers to questions like, "How often are you hit, kicked or shoved?" Eleven percent of 135 is 12, so all this news coverage is based on a study that looks at only 12 bullies in one school in one city in one part of Canada.
Wong's research surveyed 135 kids in one Vancouver school, of which 11percentt were identified as bullies based on their answers to questions like, "How often are you hit, kicked, or shoved?" Eleven percent of 135 is 12, so all this news coverage is based on a study that looks at only 12 bullies in one school in one city in one part of Canada.
Other than that, you need to study and identify your target market and get answers to questions such as who your potential clients are, what their age bracket and gender is, what key words or phrases you use for searching online, and what day or time they visit the internet.
Clinicians pose complex clinical questions when seeing patients, and identifying the answers to those questions in a timely manner helps improve the quality of patient care.
The main focus, and something that went repeated many a time, was that the new algorithm allows Google to more quickly parse full questions (as opposed to parsing searches word-by-word), and to identify and rank answers to those questions from the content they've indexed.
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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