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Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 2: SageMaker notebooks and Studio

AWS Machine Learning Blog

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support offering. In Part 1 , we showed how to get started using AWS Cost Explorer to identify cost optimization opportunities in SageMaker. You can build custom queries to look up AWS CUR data using standard SQL.

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Accelerating query performance with watsonx.data Presto C++ and Intel Sapphire Rapid Processor on AWS

IBM Journey to AI blog

The combination of high CPU performance and high memory footprint makes R7iz instances suited for front-end Electronic Design Automation (EDA), relational database workloads with high per-core licensing fees, and financial, actuarial and data analytics simulation workloads. TB Memory, Up to 12.5 TB Memory, 528.2

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Accelerate client success management through email classification with Hugging Face on Amazon SageMaker

AWS Machine Learning Blog

In 2021, Scalable Capital experienced a tenfold increase of its client base, from tens of thousands to hundreds of thousands. Solution overview Scalable Capital’s ML infrastructure consists of two AWS accounts: one as an environment for the development stage and the other one for the production stage. Use Version 2.x

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Predicting new and existing product sales in semiconductors using Amazon Forecast

AWS Machine Learning Blog

& AWS Machine Learning Solutions Lab (MLSL) Machine learning (ML) is being used across a wide range of industries to extract actionable insights from data to streamline processes and improve revenue generation. We evaluated the WAPE for all BLs in the auto end market for 2019, 2020, and 2021.

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Build a Stocks Price Prediction App powered by Snowflake, AWS, Python and Streamlit?—?Part 2 of 3

Mlearning.ai

Build a Stocks Price Prediction App powered by Snowflake, AWS, Python and Streamlit — Part 2 of 3 A comprehensive guide to develop machine learning applications from start to finish. I have checked the AWS S3 bucket and Snowflake tables for a couple of days and the Data pipeline is working as expected. dt.strftime('%Y%m').astype(int)

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