Remove p from-data-science-to-production-streamlining-model-deployment-in-cloud-environment
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Robust time series forecasting with MLOps on Amazon SageMaker

AWS Machine Learning Blog

In the world of data-driven decision-making, time series forecasting is key in enabling businesses to use historical data patterns to anticipate future outcomes. In these applications, time series data can have heavy-tailed distributions, where the tails represent extreme values.

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Roadmap to Learn Data Science for Beginners and Freshers in 2023

Becoming Human

Data Science is a popular as well as vast field; till date, there are a lot of opportunities in this field, and most people, whether they are working professionals or students, everyone want a transition in data science because of its scope. How much to learn? In this case, what should you do? What to do next?

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Use the Amazon SageMaker and Salesforce Data Cloud integration to power your Salesforce apps with AI/ML

AWS Machine Learning Blog

This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. This is the second post in a series discussing the integration of Salesforce Data Cloud and Amazon SageMaker. The endpoints are then registered to the Salesforce Data Cloud to activate predictions in Salesforce.

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Simple guide to training Llama 2 with AWS Trainium on Amazon SageMaker

AWS Machine Learning Blog

Large language models (LLMs) are making a significant impact in the realm of artificial intelligence (AI). Llama 2 is an auto-regressive language model that uses an optimized transformer architecture and is intended for commercial and research use in English. Llama2 by Meta is an example of an LLM offered by AWS.

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Implement unified text and image search with a CLIP model using Amazon SageMaker and Amazon OpenSearch Service

AWS Machine Learning Blog

You can use CLIP to encode your products’ images or description into embeddings , and then store them into an OpenSearch Service k-NN index. Then your customers can query the index to retrieve products that they’re interested in. Then your customers can query the index to retrieve products that they’re interested in.