AWS Machine Learning Blog

OCTOBER 16, 2024

Video data analysis with AI wasn’t required for generating detailed, accurate, and high-quality metadata. DPG Media chose Amazon Transcribe for its ease of transcription and low maintenance, with the added benefit of incremental improvements by AWS over the years.

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Flipboard

JANUARY 27, 2025

Introducing Amazon Bedrock Agents and Powertools for AWS Lambda To address these challenges, we can leverage two powerful tools that work seamlessly together: Amazon Bedrock Agents utilize functional calling to invoke AWS Lambda functions with embedded business logic. User: Does AWS have any recent FedRAMP compliance documents?

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Analytics Vidhya

MARCH 5, 2023

Introduction Amazon Athena is an interactive query tool supplied by Amazon Web Services (AWS) that allows you to use conventional SQL queries to evaluate data stored in Amazon S3. Athena is a serverless service. Thus there are no servers to operate, and you pay for the queries you perform.

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AWS Machine Learning Blog

OCTOBER 24, 2024

Example code The following code example is a Python script that can be used as an AWS Lambda function or as part of your processing pipeline. Combined with AWS tool offerings such as AWS Lambda and Amazon SageMaker, you can implement such open source tools for your applications.

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AWS Machine Learning Blog

DECEMBER 13, 2023

In this post, we showcase fine-tuning a Llama 2 model using a Parameter-Efficient Fine-Tuning (PEFT) method and deploy the fine-tuned model on AWS Inferentia2. We use the AWS Neuron software development kit (SDK) to access the AWS Inferentia2 device and benefit from its high performance.

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AWS Machine Learning Blog

OCTOBER 10, 2023

Machine learning (ML), especially deep learning, requires a large amount of data for improving model performance. Customers often need to train a model with data from different regions, organizations, or AWS accounts. Existing partner open-source FL solutions on AWS include FedML and NVIDIA FLARE.

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AWS Machine Learning Blog

AUGUST 26, 2024

At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. It will be able to answer questions, generate content, and facilitate bidirectional interactions, all while continuously using internal AWS and external data to deliver timely, personalized insights.

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AWS Machine Learning Blog

NOVEMBER 12, 2024

You may check out additional reference notebooks on aws-samples for how to use Meta’s Llama models hosted on Amazon Bedrock. You can implement these steps either from the AWS Management Console or using the latest version of the AWS Command Line Interface (AWS CLI). He also holds an MBA from Colorado State University.

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AWS Machine Learning Blog

FEBRUARY 13, 2025

They can select from options like requesting vacation time, checking company policies using the knowledge base, using a code interpreter for data analysis, or submitting expense reports. Code Interpreter For performing calculations and data analysis. A code interpreter tool for performing calculations and data analysis.

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AWS Machine Learning Blog

DECEMBER 3, 2024

Complexity in data interpretation – Team members may struggle to interpret monitoring and observability data due to complex applications with numerous services and cloud infrastructure entities, and unclear symptom-problem relationships. To get started on training, enroll for free Amazon Q training from AWS Training and Certification.

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AWS Machine Learning Blog

OCTOBER 16, 2024

Methods such as field surveys and manual satellite data analysis are not only time-consuming, but also require significant resources and domain expertise. This often leads to delays in data collection and analysis, making it difficult to track and respond swiftly to environmental changes.

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AWS Machine Learning Blog

DECEMBER 14, 2023

This is a customer post jointly authored by ICL and AWS employees. Building in-house capabilities through AWS Prototyping Building and maintaining ML solutions for business-critical workloads requires sufficiently skilled staff. Before models can be trained, it’s necessary to generate training data.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

You can use Amazon FSx to lift and shift your on-premises Windows file server workloads to the cloud, taking advantage of the scalability, durability, and cost-effectiveness of AWS while maintaining full compatibility with your existing Windows applications and tooling. Synchronize your file system data. Choose Create application.

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AWS Machine Learning Blog

SEPTEMBER 13, 2024

Managing cloud costs and understanding resource usage can be a daunting task, especially for organizations with complex AWS deployments. AWS Cost and Usage Reports (AWS CUR) provides valuable data insights, but interpreting and querying the raw data can be challenging. This is a proof of concept setup.

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Data Science Dojo

NOVEMBER 5, 2024

For instance: Google employs LLMs like BERT and GPT-3 to enhance its search algorithms Microsoft integrates LLMs into Azure AI and Office products for advanced text generation and data analysis Amazon leverages LLMs for personalized shopping experiences and advanced AI tools in AWS These examples highlight the transformative impact of LLMs in business (..)

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Data Science Dojo

FEBRUARY 20, 2023

Spark is a general-purpose distributed data processing engine that can handle large volumes of data for applications like data analysis, fraud detection, and machine learning. SageMaker boosts machine learning model development with the power of AWS, including scalable computing, storage, networking, and pricing.

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AWS Machine Learning Blog

MARCH 1, 2023

In this post, we share how Kakao Games and the Amazon Machine Learning Solutions Lab teamed up to build a scalable and reliable LTV prediction solution by using AWS data and ML services such as AWS Glue and Amazon SageMaker. The ETL pipeline, MLOps pipeline, and ML inference should be rebuilt in a different AWS account.

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Flipboard

DECEMBER 11, 2024

SageMaker Unied Studio is an integrated development environment (IDE) for data, analytics, and AI. Discover your data and put it to work using familiar AWS tools to complete end-to-end development workflows, including data analysis, data processing, model training, generative AI app building, and more, in a single governed environment.

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AWS Machine Learning Blog

OCTOBER 21, 2024

However, customers who want to deploy LLMs in their own self-managed workflows for greater control and flexibility of underlying resources can use these LLMs optimized on top of AWS Inferentia2-powered Amazon Elastic Compute Cloud (Amazon EC2) Inf2 instances. Main components The following are the main components of the solution.

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AWS Machine Learning Blog

AUGUST 28, 2023

As part of the 2023 Data Science Conference (DSCO 23), AWS partnered with the Data Institute at the University of San Francisco (USF) to conduct a datathon. Participants, both high school and undergraduate students, competed on a data science project that focused on air quality and sustainability.

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AWS Machine Learning Blog

MARCH 30, 2023

Therefore, it’s no surprise that determining the proficiency of goalkeepers in preventing the ball from entering the net is considered one of the most difficult tasks in football data analysis. Bundesliga and AWS have collaborated to perform an in-depth examination to study the quantification of achievements of Bundesliga’s keepers.

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AWS Machine Learning Blog

JUNE 25, 2024

The customer review analysis workflow consists of the following steps: A user uploads a file to dedicated data repository within your Amazon Simple Storage Service (Amazon S3) data lake, invoking the processing using AWS Step Functions. The raw data is processed by an LLM using a preconfigured user prompt.

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AWS Machine Learning Blog

AUGUST 15, 2024

QnABot on AWS (an AWS Solution) now provides access to Amazon Bedrock foundational models (FMs) and Knowledge Bases for Amazon Bedrock , a fully managed end-to-end Retrieval Augmented Generation (RAG) workflow. Deploying the QnABot solution builds the following environment in the AWS Cloud.

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Pickl AI

NOVEMBER 18, 2024

Industry-recognised certifications, like IBM and AWS, provide credibility. Who is a Data Analyst? A Data Analyst collects, processes, and interprets data to help organisations make informed decisions. They use data visualisation tools like Tableau and Power BI to create compelling reports. Course Duration: 26.5

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AWS Machine Learning Blog

DECEMBER 29, 2022

However, working with data in the cloud can present challenges, such as the need to remove organizational data silos, maintain security and compliance, and reduce complexity by standardizing tooling. AWS offers tools such as RStudio on SageMaker and Amazon Redshift to help tackle these challenges. Conclusion. About the Authors.

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AWS Machine Learning Blog

SEPTEMBER 6, 2024

Specifically, such data analysis can result in predicting trends and public sentiment while also personalizing customer journeys, ultimately leading to more effective marketing and driving business. To enhance the customer experience, Vidmob decided to partner with AWS GenAIIC to deliver these insights more quickly and automatically.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

Oil and gas data analysis – Before beginning operations at a well a well, an oil and gas company will collect and process a diverse range of data to identify potential reservoirs, assess risks, and optimize drilling strategies. Consider a financial data analysis system.

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AWS Machine Learning Blog

MARCH 21, 2023

This post introduces a best practice for managing custom code within your Amazon SageMaker Data Wrangler workflow. Data Wrangler is a low-code tool that facilitates data analysis, preprocessing, and visualization. This post shows how you can use code stored in AWS CodeCommit in the Data Wrangler custom transform step.

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AWS Machine Learning Blog

MAY 16, 2024

The main AWS services used are SageMaker, Amazon EMR , AWS CodeBuild , Amazon Simple Storage Service (Amazon S3), Amazon EventBridge , AWS Lambda , and Amazon API Gateway. When the preprocessing batch was complete, the training/test data needed for training was partitioned based on runtime and stored in Amazon S3.

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AWS Machine Learning Blog

APRIL 16, 2024

The output of a query can be displayed directly within the notebook, facilitating seamless integration of SQL and Python workflows in your data analysis. IAM role – SageMaker requires an AWS Identity and Access Management (IAM) role to be assigned to a SageMaker Studio domain or user profile to manage permissions effectively.

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Data Science 101

JANUARY 10, 2020

Google Releases a tool for Automated Exploratory Data Analysis Exploring data is one of the first activities a data scientist performs after getting access to the data. This command-line tool helps to determine the properties and quality of the data as well the predictive power. Courses & Learning.

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AWS Machine Learning Blog

AUGUST 7, 2024

You can use these principles and existing AWS services such as Amazon SageMaker Model Registry and Amazon SageMaker Pipelines to deliver innovative solutions to your customers while maintaining compliance for your ML workloads. The code is committed to AWS CodeCommit , a managed source control service.

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Pickl AI

DECEMBER 26, 2024

Each platform offers unique capabilities tailored to varying needs, making the platform a critical decision for any Data Science project. Major Cloud Platforms for Data Science Amazon Web Services ( AWS ), Microsoft Azure, and Google Cloud Platform (GCP) dominate the cloud market with their comprehensive offerings.

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Mlearning.ai

JULY 9, 2023

Empowering Data Scientists and Engineers with Lightning-Fast Data Analysis and Transformation Capabilities Photo by Hans-Jurgen Mager on Unsplash ?Goal Submission Suggestions Data Analysis at Warp Speed: Explore the World of Polars was originally published in MLearning.ai

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Data Science Dojo

OCTOBER 17, 2023

Offers seamless integration with other AWS services. Read more about 6 AI tools revolutionizing data analysi The impact on businesses and individuals The use of large language models for translation has a significant impact on both businesses and individuals. Provides real-time and batch translation capabilities.

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AWS Machine Learning Blog

MAY 2, 2024

Import the interactions data to Amazon Personalize from Amazon Simple Storage Service (Amazon S3). Train a model After the dataset import job is complete, you can analyze data before training. For Recipe , choose the new aws-user-personalization-v2 recipe. Now you’re ready to train your model. Choose your dataset group.

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Flipboard

DECEMBER 18, 2023

The webinars, sponsored by Amazon Web Services (AWS) , served as a platform for gaining valuable insights from education leaders, policymakers and edtech product developers. This includes using AI in edtech tools for data analysis, pattern recognition and resource recommendations.

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