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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

APIs 110
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6 Online Data Analyst Courses

JivoChat

There is where data analysis comes in, you can use the data your company has, and key performance indicators (KPIs) to indicate what path you should follow. The Data Analyst Course With the Data Analyst Course, you will be able to become a professional in this area, developing all the necessary skills to succeed in your career.

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Reduce food waste to improve sustainability and financial results in retail with Amazon Forecast

AWS Machine Learning

We can then call a Forecast API to create a dataset group and import data from the processed S3 bucket. We use the AutoPredictor API, which is also accessible through the Forecast console. For customized evaluation and analysis, you can also export the forecasted values to evaluate predictor quality metrics.

APIs 96
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Intelligent document processing with AWS AI and Analytics services in the insurance industry: Part 2

AWS Machine Learning

Before you get started, refer to Part 1 for a high-level overview of the insurance use case with IDP and details about the data capture and classification stages. In Part 1, we saw how to use Amazon Textract APIs to extract information like forms and tables from documents, and how to analyze invoices and identity documents.

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­­Speed ML development using SageMaker Feature Store and Apache Iceberg offline store compaction

AWS Machine Learning

SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation. Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases. You can also use the FeatureGroup().put_record

Scripts 72
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How AI can help you deliver an 11-star customer experience

Hello Customer

In 2018 we saw a similar evolution in the data space. Up until then, organizations often used big data warehouses to centralize all their data. The downside was that that data never fitted a specific use case: the finance department wants to see data in a different way than the product or marketing team.

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The IoT Chronicles Part 2: Three Big Security Threats—and How to Solve Them

Avaya

Open APIs: An open API model is advantageous in that it allows developers outside of companies to easily access and use APIs to create breakthrough innovations. At the same time, however, publicly available APIs are also exposed ones. billion GB of data were being produced every day in 2012 alone!)

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