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fix: return accidentally removed word

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George Panchuk
2022-07-14 18:24:35 +03:00
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qdrant-landing/content/articles/dataset-quality.md
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@@ -14,7 +14,7 @@ date: 2022-07-13T013:00:00.000Z
Nowadays, people create a huge number of applications of various types, and solve problems in different areas.
Despite such diversity, they have something in common - they need to process data.
Real world data is a living structure, it grows day by day, changes a lot, becomes harder to work with.
In some cases, you need to categorize or label data, which can be a tough problem given its scale.
In some cases, you need to categorize or label your data, which can be a tough problem given its scale.
The process of splitting or labelling is error-prone and these errors can be very costly.
Imagine that you failed to achieve the desired quality of the model due to inaccurate labels.
Worse, your users are faced with a lot of irrelevant items, unable to find what they need, getting annoyed by it.