AWS Machine Learning Blog

SEPTEMBER 3, 2024

This allows SageMaker Studio users to perform petabyte-scale interactive data preparation, exploration, and machine learning (ML) directly within their familiar Studio notebooks, without the need to manage the underlying compute infrastructure. This same interface is also used for provisioning EMR clusters. elasticmapreduce", "arn:aws:s3:::*.elasticmapreduce/*"

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AWS Machine Learning Blog

AUGUST 4, 2023

This completes the setup to enable data access from Salesforce Data Cloud to SageMaker Studio to build AI and machine learning (ML) models. In this step, we use some of these transformations to prepare the dataset for an ML model. Rachna Chadha is a Principal Solutions Architect AI/ML in Strategic Accounts at AWS.

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AWS Machine Learning Blog

MARCH 15, 2023

Tens of thousands of AWS customers use AWS machine learning (ML) services to accelerate their ML development with fully managed infrastructure and tools. The SageMaker Processing job operates with the /opt/ml local path, and you can specify your ProcessingInputs and their local path in the configuration. Create an S3 bucket.

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AWS Machine Learning Blog

MAY 1, 2025

It requires sophisticated visual reasoning to interpret data visualizations and answer numerical and analytical questions about the presented information. With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value. Happy fine-tuning!

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AWS Machine Learning Blog

SEPTEMBER 7, 2023

Amazon SageMaker Pipelines is a fully managed AWS service for building and orchestrating machine learning (ML) workflows. SageMaker Pipelines offers ML application developers the ability to orchestrate different steps of the ML workflow, including data loading, data transformation, training, tuning, and deployment.

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Pickl AI

APRIL 27, 2023

Data Analytics Trend Report 2023: Data Science is an interdisciplinary field that focuses on filtering the data, categorizing it, and deriving valuable insights. And for anyone to stay ahead of the curve, knowing the top trends in data & analytics technology becomes significant. Eventually ensuring efficient functioning.

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AWS Machine Learning Blog

OCTOBER 17, 2024

Amazon SageMaker Studio is the latest web-based experience for running end-to-end machine learning (ML) workflows. This can be useful for organizations that want to provide a centralized storage solution for their ML projects across multiple SageMaker Studio domains. In her free time, Irene enjoys traveling and hiking.

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AWS Machine Learning Blog

JUNE 15, 2023

With a background in AI/ML, data science, and analytics, Yunfei helps customers adopt AWS services to deliver business results. He designs AI/ML and data analytics solutions that overcome complex technical challenges and drive strategic objectives. About the authors Yunfei Bai is a Senior Solutions Architect at AWS.

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AWS Machine Learning Blog

AUGUST 22, 2023

Machine learning (ML) is revolutionizing solutions across industries and driving new forms of insights and intelligence from data. Many ML algorithms train over large datasets, generalizing patterns it finds in the data and inferring results from those patterns as new unseen records are processed. What is federated learning?

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AWS Machine Learning Blog

MARCH 19, 2025

nn en nn nnAWS (Amazon Web Services) is a cloud computing platform that offers a broad set of global services including computing, storage, databases, analytics, machine learning, and more. He helps enterprise customers to achieve business outcomes by unlocking the full potential of AI/ML services on the AWS Cloud.

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Flipboard

MARCH 7, 2023

Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your ML models. A public GitHub repo provides hands-on examples for each of the presented approaches.

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AWS Machine Learning Blog

JUNE 6, 2025

Below is an example of a trust policy. { "Version": "2012-10-17", "Statement": [ { "Sid": "AllowEksAuthToAssumeRoleForPodIdentity", "Effect": "Allow", "Principal": { "Service": "pods.eks.amazonaws.com" }, "Action": [ "sts:AssumeRole", "sts:TagSession" ] } ] } In Account C, create an S3 access point by following the steps here.

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AWS Machine Learning Blog

NOVEMBER 13, 2024

OpenSearch Serverless is a serverless option for OpenSearch Service, a powerful storage option built for distributed search and analytics use cases. He is particularly passionate about AI/ML and enjoys building proof-of-concept solutions for his customers.

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AWS Machine Learning Blog

MAY 12, 2023

Amazon SageMaker comes with two options to spin up fully managed notebooks for exploring data and building machine learning (ML) models. In addition to creating notebooks, you can perform all the ML development steps to build, train, debug, track, deploy, and monitor your models in a single pane of glass in Studio.

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ODSC - Open Data Science

FEBRUARY 28, 2023

To deliver on their commitment to enhancing human ingenuity, SAS’s ML toolkit focuses on automation and more to provide smarter decision-making. Blueprint Blueprint utilizes its expertise in data management, including analytics, migration, governance, and centralization to enable its clients to get the most from their data.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

The financial services industry (FSI) is no exception to this, and is a well-established producer and consumer of data and analytics. This mostly non-technical post is written for FSI business leader personas such as the chief data officer, chief analytics officer, chief investment officer, head quant, head of research, and head of risk.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Create a role named sm-build-role with the following trust policy, and add the policy sm-build-policy that you created earlier: { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Principal": { "Service": "codebuild.amazonaws.com" }, "Action": "sts:AssumeRole" } ] } Now, let’s review the steps in CloudShell.

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ODSC - Open Data Science

JUNE 8, 2023

To deliver on their commitment to enhancing human ingenuity, SAS’s ML toolkit focuses on automation and more to provide smarter decision-making. Advancing Analytics Advancing Analytics can help you define a data strategy and roadmap, providing you with the necessary tools and support to achieve your goals.

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Iguazio

AUGUST 3, 2023

Get the retail dataset for analytics here. While this data is not fresh, it is from 2010-2012, we added it to the list because of the holiday sales data that can be used and could still be relevant. To learn more about ML and retailers, click here. An example is provided in the dataset’s landing page. Get the dataset here.

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AWS Machine Learning Blog

MAY 5, 2023

In this post, we discuss a machine learning (ML) solution for complex image searches using Amazon Kendra and Amazon Rekognition. Amazon Kendra is an intelligent search service powered by ML, and Amazon Rekognition is an ML service that can identify objects, people, text, scenes, and activities from images or videos.

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AWS Machine Learning Blog

APRIL 16, 2024

Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In the process of working on their ML tasks, data scientists typically start their workflow by discovering relevant data sources and connecting to them. or later image versions.

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AWS Machine Learning Blog

JULY 10, 2024

About the Authors Yanyan Zhang is a Senior Generative AI Data Scientist at Amazon Web Services, where she has been working on cutting-edge AI/ML technologies as a Generative AI Specialist, helping customers use generative AI to achieve their desired outcomes. Sovik Kumar Nath is an AI/ML and Generative AI Senior Solutions Architect with AWS.

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ODSC - Open Data Science

MAY 1, 2023

Jay Jackson VP AI & ML, Oracle | Expert in Neurotechnology and the Future of BCIs Jay is a VP of the Artificial Intelligence and Machine Learning organization at Oracle Cloud. In 2012, Daphne was recognized as one of TIME Magazine’s 100 most influential people. Audrey Reznik Guidera Sr.

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The MLOps Blog

JANUARY 11, 2023

Figure 1: The high-level overview of the MLOps environment architectural design built with AWS services listed in the left side | Source: Author I went through several rounds of interviews and discussions with different teams to hear what they expect to achieve, mainly the ML team, and shared with them the expectations of other teams as well.

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DataRobot

SEPTEMBER 14, 2021

Since DataRobot was founded in 2012, we’ve been committed to democratizing access to the power of AI. We’re building a platform for all users: data scientists, analytics experts, business users, and IT. Let’s dive into each of these areas and talk about how we’re delivering the DataRobot AI Cloud Platform with our 7.2

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AWS Machine Learning Blog

OCTOBER 10, 2024

The example IAM policy code snippet that follows demonstrates how to set up an explicit deny. { "Version": "2012-10-17", "Statement": [ { "Effect": "Deny", "Action": [ "qbusiness:DisableAclOnDataSource" ], "Resource": ["*"] } ] } Note that even if the option to disable ACL crawling is denied, the user interface might not gray out this option.

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Pickl AI

APRIL 28, 2023

With more than 650% growth since 2012, Data Science has emerged as one of the most sought-after technologies. million job opportunities in the analytics domain. Analytics Positions The top two nations that have become a hub for data-driven activities are India and the United States. It will create around 11.5

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AWS Machine Learning Blog

MARCH 15, 2024

She is a member of AI/ML community and a Generative AI expert at AWS. A strategic leader with expertise in cloud architecture, generative AI, machine learning, and data analytics. He is a member of AI/ML community and a Generative AI ambassador at AWS. In her leisure, she enjoys gardening and cycling.

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AWS Machine Learning Blog

APRIL 23, 2024

We are excited to announce two new capabilities in Amazon SageMaker Studio that will accelerate iterative development for machine learning (ML) practitioners: Local Mode and Docker support. ML model development often involves slow iteration cycles as developers switch between coding, training, and deployment.

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Flipboard

NOVEMBER 15, 2024

AWS Glue is a serverless data integration service that makes it straightforward for analytics users to discover, prepare, move, and integrate data from multiple sources. Anastasia Tzeveleka is a Senior GenAI/ML Specialist Solutions Architect at AWS. The following is an example policy. Manos lives and works in London.

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DrivenData Labs

SEPTEMBER 10, 2024

Advance algorithms and analytic approaches for early prediction of AD/ADRD, with an emphasis on explainability of predictions. Many teams combined technical skills in AI/ML with domain knowledge in neuroscience, aging, or healthcare. Paola Ruíz Puente is a Biomedical Engineer amd the AI/ML manager at IGC Pharma.

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Tableau

FEBRUARY 24, 2021

Part of the motivation for this research was to serve as a foundation for research and development, so that I may identify areas where visual analytics tools might address an unmet need. as early as 2012 already identified this trend, which has only accelerated over time. Interviews conducted by Harris et al.

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AWS Machine Learning Blog

MARCH 30, 2023

Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users. You can get started without any prior ML experience, using APIs to easily build sophisticated personalization capabilities in a few clicks. mkdir $data_dir !cd

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DrivenData Labs

MAY 1, 2025

Advance algorithms and analytic approaches for early prediction of AD/ADRD, with an emphasis on explainability of predictions. For more practical guidance about extracting ML features from speech data, including example code to generate transformer embeddings, see this blog post ! changes between 2003 and 2012).

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IBM Journey to AI blog

JULY 19, 2023

In the AI domain, IBM has 21K+ data Scientists, AI Engineers, and consultants and has executed 40K+ AI and analytics engagements. An AI generated sample narrative of adverse events In addition to this, IBM Consulting recently launched watsonx.data on AWS, an open, hybrid, governed data store to help enterprises scale analytics and AI.

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Tableau

FEBRUARY 24, 2021

Part of the motivation for this research was to serve as a foundation for research and development, so that I may identify areas where visual analytics tools might address an unmet need. as early as 2012 already identified this trend, which has only accelerated over time. Interviews conducted by Harris et al.

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AWS Machine Learning Blog

OCTOBER 11, 2024

This makes it a popular option for a vector database when using Amazon Bedrock Knowledge Bases, because it makes it straightforward to build modern machine learning (ML) augmented search experiences and generative AI applications without having to manage the underlying vector database infrastructure.

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