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Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data. What is text mining?

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Fine-tune Llama 2 for text generation on Amazon SageMaker JumpStart

AWS Machine Learning Blog

Generative AI foundation models have been the focus of most of the ML and artificial intelligence research and use cases for over a year now. validation_split_ratio – If validation channel is none , ratio of train-validation split from the train data must be between 0–1. Must be a positive integer or -1. Default is -1.

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Containerization of Machine Learning Applications

Heartbeat

The machine learning (ML) lifecycle defines steps to derive values to meet business objectives using ML and artificial intelligence (AI). 5000 wsgi:app & We can access our app via both channels (foreground and background) at [link] , which means listening to port 5000 on all IPs as 0.0.0.0 is a placeholder.

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Multi-Modal Methods: Visual Speech Recognition (Lip Reading)

ML Review

In some senses, we are getting closer to a generalisable artificial intelligence; knowledge in deep learning is consolidating into a more paradigmatic approach. Deep Learning est en train de mourir. Online] Sebastian Ruder Blog (ruder.io). Online] Andrej Karpathy Blog ( [link] ). Online] Colah’s Blog ( [link] ).