Remove tag dimensionality-reduction
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An Overview of Extreme Multilabel Classification (XML/XMLC)

Towards AI

Correctly predicting the tags of the questions is a very challenging problem as it involves the prediction of a large number of labels among several hundred thousand possible labels. Therefore, efficient space-reduction techniques are necessary. The prediction is then done using a k-nearest neighbor method within the embedding space.

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Create high-quality datasets with Amazon SageMaker Ground Truth and FiftyOne

AWS Machine Learning Blog

Although articles of clothing are labeled with categories (and subcategories) and contain a variety of helpful tags that are extracted from the original product descriptions, the data is not systematically labeled with pattern or style information. It’s an established and well-cited dataset, but it isn’t directly suited for your use case.

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Understanding Convolutional Neural Network (CNN) — A Guide to Visual Recognition in the AI Era

Towards AI

We’ll understand the basics of convolutional neural networks with different image processing strategies for feature generation with dimensionality reduction techniques for improving computational complexity. The structure of the image is mainly composed of a dimensional array of picture elements called pixels.

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Asset management vs. parts inventory management: What’s the difference?

IBM Journey to AI blog

In addition to an asset’s location, RFID tags can transmit the temperature and humidity of the environment where its being kept. In addition to an asset’s location, RFID tags can transmit the temperature and humidity of the environment where its being kept.

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ACL 2022 Highlights

Sebastian Ruder

Seeing the emergence of such multilingual multimodal approaches is particularly encouraging as it is an improvement over the previous year’s ACL where multimodal approaches mainly dealt with English (based on an analysis of “multi-dimensional” NLP research we did for an ACL 2022 Findings paper ).

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Discovering the Technology Behind Photo Tagging Systems

Artificial Corner

Machine Learning System Design Series Learn how a photo tagging system, like the one used by Facebook, works in detail. Facebook tag suggestion system — Source: [link] No matter how old you are, I bet you have crossed Facebook or Instagram once. The core of our solution is a system that suggests photo tags based on who’s in them.

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[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

When the complexity of a model is increased, a reduction in the error is seen. Kernel functions are generalized dot product functions used for the computing dot product of vectors xx and yy in high dimensional feature space. Is it good to do dimensionality reduction before fitting a Support Vector Model?