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10 everyday machine learning use cases

IBM Journey to AI blog

Here are some real-world applications of machine learning that have become part of our everyday lives. Going beyond email app “rules,” ML tools can also automate email management by classifying emails to route them to the right people for faster action, moving attachments to the right place, and more.

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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning Blog

Use the “Generative AI” tag as you are browsing the session catalog to find them. First, we’ll have a few foundational sessions related to various aspects of Amazon Bedrock —a fully managed generative AI service we launched earlier this year. Want to learn tips and tricks from the best racers in the world?

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How To Use Comet At Different Stages of ML Projects

Heartbeat

It helps to manage your models during experimentation and monitor them in a production environment. Comet provides different functions that make this whole process much more manageable. You can copy the URL and share your team members via email, message, or project management tools.

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Text Preprocessing: Splitting texts into sentences with Spark NLP

John Snow Labs

It is a critical step in several natural language processing (NLP) tasks because many NLP tasks take sentence as an input unit, such as part-of-speech tagging, dependency parsing, named entity recognition or machine translation. Setup To install Spark NLP in Python, simply use your favorite package manager (conda, pip, etc.).

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Building Visual Search Engines with Kuba Cie?lik

The MLOps Blog

There are certain situations where using other means of technology like NFC tags and writing down whatever is being used now is not practical, for whatever reason, and we have the technology now, or we hope to advance this technology to the level that we will be able to identify animals on an individual level from a single or multiple pictures.