Remove tag learning
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How to use deep learning for automated color tagging of products? (2022)

Hacker News

How to automate your system using deep learning computer vision models

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Machine Learning Is Not Like Your Brain Part Two: Perceptrons vs Neurons

KDnuggets

An ML system requiring thousands of tagged samples is fundamentally different from the mind of a child, which can learn from just a few experiences of untagged data.

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How Part-of-Speech Tag, Dependency and Constituency Parsing Aid In Understanding Text Data?

Analytics Vidhya

Overview Learn about Part-of-Speech (POS) Tagging, Understand Dependency Parsing and Constituency Parsing Introduction Knowledge of languages is the doorway to wisdom. . The post How Part-of-Speech Tag, Dependency and Constituency Parsing Aid In Understanding Text Data? appeared first on Analytics Vidhya.

Analytics 294
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Creating a web app for Gradio application on Azure using Docker: A step-by-step guide

Data Science Dojo

In this step-by-step guide, learn how to deploy a web app for Gradio on Azure with Docker. With Gradio, users can create a web application that allows their users to interact with their machine learning model, API, or data science workflow. docker tag demo-gradio-app gradioappdemos.azurecr.io/demo-gradio-app

Azure 370
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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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NLP – Tags, Frequencies, Unique Terms, n-grams

Analytics Vidhya

There is no denying the power and evolution we have witnessed in the field of Natural Language Processing and what further advancements we will have the fortune to witness, learn, and implement. The post NLP – Tags, Frequencies, Unique Terms, n-grams appeared first on Analytics Vidhya. NLP is used in a wide […].

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POS Tagging, Explained

KDnuggets

Learn about the strengths of part-of-speech tagging, and about how a strong POS tagger can contribute to natural language understanding.

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