AWS Machine Learning Blog

NOVEMBER 29, 2023

Data preparation is a crucial step in any machine learning (ML) workflow, yet it often involves tedious and time-consuming tasks. Amazon SageMaker Canvas now supports comprehensive data preparation capabilities powered by Amazon SageMaker Data Wrangler. You can download the dataset loans-part-1.csv

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AWS Machine Learning Blog

MAY 13, 2024

Evaluating LLMs is an undervalued part of the machine learning (ML) pipeline. Because we used only the radiology report text data, we downloaded just one compressed report file (mimic-cxr-reports.zip) from the MIMIC-CXR website. It is time-consuming but, at the same time, critical.

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AWS Machine Learning Blog

JUNE 23, 2023

Amazon SageMaker Data Wrangler is a single visual interface that reduces the time required to prepare data and perform feature engineering from weeks to minutes with the ability to select and clean data, create features, and automate data preparation in machine learning (ML) workflows without writing any code.

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Flipboard

MARCH 22, 2023

Snowflake is an AWS Partner with multiple AWS accreditations, including AWS competencies in machine learning (ML), retail, and data and analytics. Data scientist experience In this section, we cover how data scientists can connect to Snowflake as a data source in Data Wrangler and prepare data for ML.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

AWS innovates to offer the most advanced infrastructure for ML. For ML specifically, we started with AWS Inferentia, our purpose-built inference chip. Neuron plugs into popular ML frameworks like PyTorch and TensorFlow, and support for JAX is coming early next year. Customers like Adobe, Deutsche Telekom, and Leonardo.ai

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Pickl AI

DECEMBER 3, 2024

Established in 1987 at the University of California, Irvine, it has become a global go-to resource for ML practitioners and researchers. Users can download datasets in formats like CSV and ARFF. The UCI Machine Learning Repository is a well-known online resource that houses vast Machine Learning (ML) research and applications datasets.

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Flipboard

JULY 10, 2023

It works well for simple data but may struggle with complex patterns. Figure 4: Architecture of fully connected autoencoders (source: Amor, “Comprehensive introduction to Autoencoders,” ML Cheat Sheet , 2021 ). ✓ Access on mobile, laptop, desktop, etc. Step into the future with Roboflow. Join the Newsletter!

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