Marktechpost

MARCH 12, 2024

Database metadata can be expressed in various formats, including schema.org and DCAT. Unfortunately, these formats weren’t made with machine learning data in mind. Google has recently introduced Croissant, a new format for metadata in ML-ready datasets. Users can then publish their datasets.

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Flipboard

APRIL 10, 2025

The workflow consists of the following steps: Import your user, item, and interaction data into Amazon Personalize. The user and item datasets are not required for Amazon Personalize to generate recommendations, but providing good item and user metadata provides the best results in your trained models.

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IBM Journey to AI blog

OCTOBER 14, 2024

Unstructured enables companies to transform their unstructured data into a standardized format, regardless of file type, and enrich it with additional metadata. As enterprises have leaned into LLMs, the appetite for large volumes of preprocessed data has exploded.

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IBM Journey to AI blog

JULY 17, 2023

Within watsonx.ai, users can take advantage of open-source frameworks like PyTorch, TensorFlow and scikit-learn alongside IBM’s entire machine learning and data science toolkit and its ecosystem tools for code-based and visual data science capabilities. Later this year, it will leverage watsonx.ai

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The MLOps Blog

JANUARY 26, 2024

A feature store is a data platform that supports the creation and use of feature data throughout the lifecycle of an ML model, from creating features that can be reused across many models to model training to model inference (making predictions). It can also transform incoming data on the fly.

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AWS Machine Learning Blog

AUGUST 6, 2024

The model package contains a requirements.txt file that lists the necessary Python packages to be installed to serve the MusicGen model. Asynchronous music generation As soon as the response metadata is sent to the client, the asynchronous inference begins the music generation. The model package also contains an inference.py

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The MLOps Blog

MAY 31, 2023

You may also like Building a Machine Learning Platform [Definitive Guide] Consideration for data platform Setting up the Data Platform in the right way is key to the success of an ML Platform. In the following sections, we will discuss best practices while setting up a Data Platform for Retail.

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