AWS Machine Learning Blog

JULY 1, 2024

For this post, we use Amazon shareholder docs (Amazon Shareholder letters – 2023 & 2022) as a data source to hydrate the knowledge base. Create a knowledge base To create a new knowledge base in Amazon Bedrock, complete the following steps. Keep the data source location as the same AWS account and choose Browse S3.

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AWS Machine Learning Blog

JUNE 3, 2024

SageMaker Data Wrangler has also been integrated into SageMaker Canvas, reducing the time it takes to import, prepare, transform, featurize, and analyze data. In a single visual interface, you can complete each step of a data preparation workflow: data selection, cleansing, exploration, visualization, and processing.

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AWS Machine Learning Blog

MAY 3, 2023

Each business problem is different, each dataset is different, data volumes vary wildly from client to client, and data quality and often cardinality of a certain column (in the case of structured data) might play a significant role in the complexity of the feature engineering process.

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ODSC - Open Data Science

FEBRUARY 28, 2023

Going from Data to Insights LexisNexis At HPCC Systems® from LexisNexis® Risk Solutions you’ll find “a consistent data-centric programming language, two processing platforms, and a single, complete end-to-end architecture for efficient processing.” These tools are designed to help companies derive insights from big data.

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NVIDIA

JUNE 7, 2024

Financial companies can also use accelerated computing to reduce data processing costs. Running data-heavy Spark3 workloads on NVIDIA GPUs, PayPal confirmed the potential to reduce cloud costs by up to 70% for big data processing and AI applications.

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AWS Machine Learning Blog

DECEMBER 4, 2023

Overview of solution Five people from Getir’s data science team and infrastructure team worked together on this project. The project was completed in a month and deployed to production after a week of testing. We used GPU jobs that help us run jobs that use an instance’s GPUs. The following diagram shows the solution’s architecture.

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AWS Machine Learning Blog

NOVEMBER 8, 2023

Code generation, completion, and suggestions Let’s examine several situations where Amazon CodeWhisperer can be useful. Tools like Amazon CodeGuru Profiler can collect performance data to optimize latency between components. His knowledge ranges from application architecture to big data, analytics, and machine learning.

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Pickl AI

FEBRUARY 10, 2025

Summary: This blog provides an in-depth look at the top 20 AWS interview questions, complete with detailed answers. Amazon S3 (Simple Storage Service) is an object storage service that provides high durability and availability for data storage. Implementing Auto Scaling to adjust capacity based on demand.

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AWS Machine Learning Blog

NOVEMBER 9, 2023

Create a KMS key in the dev account and give access to the prod account Complete the following steps to create a KMS key in the dev account: On the AWS KMS console, choose Customer managed keys in the navigation pane. Choose Create key. For Key type , select Symmetric. For Script Path , enter Jenkinsfile. Choose Save.

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Marktechpost

NOVEMBER 13, 2024

Among SiteGround’s features are an integrated CDN for quicker load times, daily backups, and an internal monitoring system for complete security. Big data solutions, deep learning, and machine learning are supported by the platform.

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The MLOps Blog

JUNE 27, 2023

Databricks Databricks is a cloud-native platform for big data processing, machine learning, and analytics built using the Data Lakehouse architecture. Can you see the complete model lineage with data/models/experiments used downstream? A self-service infrastructure portal for infrastructure and governance.

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The MLOps Blog

FEBRUARY 5, 2023

These days when you are listening to a song or a video, if you have auto-play on, the platform creates a playlist for you based on your real-time streaming data. It can be used to perform complex data processing tasks such as windowed aggregations, joins, and event-time processing.

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Viso.ai

MARCH 29, 2024

Machine learning extracts hidden information and insights from big data using statistical methods and techniques. After performing the data mining process, the next step is data visualization. It will assist the users and executives in identifying important information that is extracted from data.

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Mlearning.ai

FEBRUARY 17, 2023

It can be scaled to big data. It is easy to collaborate within a team (small or big). Model training is completed but you don’t know how to implement the model in the real world. MLflow main advantages including: It works with many machine-learning libraries such as scikit-learn, TensorFlow, and Keras. It is open-source.

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Mlearning.ai

MAY 23, 2023

Data processing does the task of exploring the data, mining it, and analyzing it which can be finally used to generate the summary of the insights extracted from the data. Data: It is when specific data is selected arbitrarily and the generally agreed criteria are not followed. What are auto-encoders?

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AWS Machine Learning Blog

NOVEMBER 14, 2024

Optionally, if Account A and Account B are part of the same AWS Organizations, and the resource sharing is enabled within AWS Organizations, then the resource sharing invitation are auto accepted without any manual intervention. Following are the steps completed by using APIs to create and share a model package group across accounts.

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Flipboard

SEPTEMBER 25, 2023

Narrato AI Content Genie - Social media (and blog) content on auto-pilot Narrato AI Content Genie is your personal content marketer that auto-generates social and blog content every week. Mentionlytics is an AI-powered social listening tool that analyzes online conversations using advanced algorithms and big data analysis.

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AWS Machine Learning Blog

AUGUST 15, 2024

Starting today, you can prepare your petabyte-scale data and explore many ML models with AutoML by chat and with a few clicks. In this post, we show you how you can complete all these steps with the new integration in SageMaker Canvas with Amazon EMR Serverless without writing code. Provide a dataset name and output location.

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AWS Machine Learning Blog

JANUARY 26, 2023

The trained model artifact is hosted on a SageMaker real-time endpoint using the built-in auto scaling and load balancing features. When each training job completes, the provisioned resources are kept alive in a warm pool so that the next training job launched as part of the tuning will start on the same pool with minimal startup overhead.

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Flipboard

NOVEMBER 27, 2024

Enterprises are facing challenges in accessing their data assets scattered across various sources because of increasing complexities in managing vast amount of data. Traditional search methods often fail to provide comprehensive and contextual results, particularly for unstructured data or complex queries. 80 Launch the stack.

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AWS Machine Learning Blog

FEBRUARY 7, 2025

Currently, we improve our model by incorporating increasingly accurate labeled data, a process that takes around 34 weeks of training on a single GPU. Deployment is fully automated with GitLab CI/CD pipelines, Terraform, and Helm, requiring less than an hour to complete without any downtime. We use Karpenter as the cluster auto scaler.

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