Data Science 101

JANUARY 6, 2020

As 2020 begins, there has been limited cloud data science announcements so I put together some predictions. Here are 3 things I believe will happen in 2020. Automated Machine Learning (AutoML) is really popular right now. I believe 2020 will bring some large and possibly heated debates about using AutoML.

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Flipboard

NOVEMBER 20, 2024

Prerequisites Before proceeding with this tutorial, make sure you have the following in place: AWS account – You should have an AWS account with access to Amazon Bedrock. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI.

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AWS Machine Learning Blog

DECEMBER 2, 2024

Transactions on Machine Learning Research (2024). [2] 3 (2020): 1181-1191. [4] In The Eleventh International Conference on Learning Representations (2023). [5] Exploring the limits of transfer learning with a unified text-to-text transformer.” Journal of Machine Learning Research 21, no. Webb, Rob J.

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AWS Machine Learning Blog

APRIL 7, 2025

Virginia) AWS Region. Prerequisites To try the Llama 4 models in SageMaker JumpStart, you need the following prerequisites: An AWS account that will contain all your AWS resources. An AWS Identity and Access Management (IAM) role to access SageMaker AI. The example extracts and contextualizes the buildspec-1-10-2.yml

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AWS Machine Learning Blog

NOVEMBER 1, 2024

Google Workspace users and groups are mapped to the _user_id and _group_ids fields associated with the Amazon Q Business application in AWS IAM Identity Center. After you configure your identity source, you can look up users or groups to grant them single sign-on access to AWS accounts, applications, or both.

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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. Federated learning (FL) is a distributed ML approach that trains ML models on distributed datasets.

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AWS Machine Learning Blog

SEPTEMBER 4, 2024

Its scalability and load-balancing capabilities make it ideal for handling the variable workloads typical of machine learning (ML) applications. One alternative to simplify this process is to use AWS Controllers for Kubernetes (ACK) to manage and deploy a SageMaker training pipeline. kubectl for working with Kubernetes clusters.

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AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose using an open-source federated learning (FL) framework called FedML , which enables you to analyze sensitive HCLS data by training a global machine learning model from distributed data held locally at different sites. In the first post, we described FL concepts and the FedML framework.

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Flipboard

MAY 15, 2025

The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or accuracy of this post. Early 2020, with the push for deep learning and transformer models, Qualtrics created its first enterprise-level ML platform called Socrates.

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AWS Machine Learning Blog

FEBRUARY 23, 2023

SageMaker is a fully managed machine learning (ML) service. For more information about distributed training with SageMaker, refer to the AWS re:Invent 2020 video Fast training and near-linear scaling with DataParallel in Amazon SageMaker and The science behind Amazon SageMaker’s distributed-training engines.

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Flipboard

JANUARY 14, 2025

The research team at AWS has worked extensively on building and evaluating the multi-agent collaboration (MAC) framework so customers can orchestrate multiple AI agents on Amazon Bedrock Agents. He received his PhD from the University of Tokyo in 2020, earning a Deans Award. She obtained her Ph.D.

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Flipboard

NOVEMBER 22, 2023

The Amazon Web Services (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. The full list of publicly available datasets are on the Registry of Open Data on AWS and also discoverable on the AWS Data Exchange. This quarter, AWS released 34 new or updated datasets.

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PyImageSearch

MAY 12, 2025

Home Table of Contents Build a Search Engine: Deploy Models and Index Data in AWS OpenSearch Introduction What Will We Do in This Blog? However, we will also provide AWS OpenSearch instructions so you can apply the same setup in the cloud. Why Are We Using Vector Embeddings? What’s Coming Next? Why Are We Using Vector Embeddings?

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AWS Machine Learning Blog

MAY 23, 2023

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of virtually infinite compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are rapidly adopting and using ML technologies to transform their businesses.

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AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data. It involves training a global machine learning (ML) model from distributed health data held locally at different sites. Request a VPC peering connection.

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AWS Machine Learning Blog

DECEMBER 14, 2023

This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and Abdenour Bezzouh, Chief Technology Officer at Talent.com. In line with this mission, Talent.com collaborated with AWS to develop a cutting-edge job recommendation engine driven by deep learning, aimed at assisting users in advancing their careers.

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Data Science 101

JANUARY 31, 2020

Recent Announcements from Google BigQuery Easier to analyze Parquet and ORC files, a new bucketize transformation, new partitioning options AWS Database export to S3 Data from Amazon RDS or Aurora databases can now be exported to Amazon S3 as a Parquet file. Courses / Learning.

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AWS Machine Learning Blog

AUGUST 3, 2023

AWS intelligent document processing (IDP), with AI services such as Amazon Textract , allows you to take advantage of industry-leading machine learning (ML) technology to quickly and accurately process data from any scanned document or image. In this post, we share how to enhance your IDP solution on AWS with generative AI.

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Data Science 101

MARCH 7, 2020

AWS DeepRacer 2020 Season is underway This looks to be a fun project. The first course in the Mastering Azure Machine Learning sequence has been released. It is titled, Building Your First Model with Azure Machine Learning. The frameworks in Azure will now have better security, performance, and monitoring.

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AWS Machine Learning Blog

JANUARY 6, 2023

The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. The company had to be among the top 15 vendors by the reported revenues of 2020–2021 in the APEJ region, according to IDC’s AI Software Tracker. AWS position.

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DrivenData Labs

MAY 12, 2025

The resulting tool makes it easy for water quality managers to take advantage of state-of-the-art machine learning, achieves better results than existing tools with 10x more coverage, and was published in SciPy Proceedings in 2024. Stylized view of severity estimates for points on a lake with a cyanobacteria bloom.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

For decades, Amazon has pioneered and innovated machine learning (ML), bringing delightful experiences to its customers. Similar to the rest of the industry, the advancements of accelerated hardware have allowed Amazon teams to pursue model architectures using neural networks and deep learning (DL).

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AWS Machine Learning Blog

JUNE 28, 2023

Because answering these questions requires understanding complex relationships between many different factors—often changing and dynamic—one powerful tool we have at our disposal is machine learning (ML), which can be deployed to analyze, predict, and solve these complex quantitative problems. About the authors Henrik Balle is a Sr.

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Data Science 101

JANUARY 3, 2020

2020 is here. I did create my list of 3 predictions for 2020, so those will be coming out soon. Machine Learning with Kubernetes on AWS A talk from Container Day 2019 in San Diego. Machine Learning with Kubernetes on AWS A talk from Container Day 2019 in San Diego. Happy New Year. A new decade!

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O'Reilly Media

NOVEMBER 26, 2024

Entirely new paradigms rise quickly: cloud computing, data engineering, machine learning engineering, mobile development, and large language models. In 2020, the World Economic Forum estimated that automation will displace 85 million jobs by 2025 but will also create 97 million new jobs.

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AWS Machine Learning Blog

JUNE 24, 2024

Amazon SageMaker Ground Truth is an AWS managed service that makes it straightforward and cost-effective to get high-quality labeled data for machine learning (ML) models by combining ML and expert human annotation. Their web application is developed using AWS Amplify. Krikey’s AI tools are available online at www.krikey.ai

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AWS Machine Learning Blog

OCTOBER 20, 2023

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. The architecture maps the different capabilities of the ML platform to AWS accounts. The reference architecture for the ML platform with various AWS services is shown in the following diagram.

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AWS Machine Learning Blog

SEPTEMBER 25, 2024

After the documents are successfully copied to the S3 bucket, the event automatically invokes an AWS Lambda The Lambda function invokes the Amazon Bedrock knowledge base API to extract embeddings—essential data representations—from the uploaded documents. Choose the AWS Region where you want to create the bucket. Choose Create bucket.

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AWS Machine Learning Blog

FEBRUARY 19, 2024

Note that you can also use Knowledge Bases for Amazon Bedrock service APIs and the AWS Command Line Interface (AWS CLI) to programmatically create a knowledge base. Create a Lambda function This Lambda function is deployed using an AWS CloudFormation template available in the GitHub repo under the /cfn folder.

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Data Science 101

FEBRUARY 22, 2020

This weeks news includes information about AWS working with Azure, time-series, detecting text in videos and more. Dates are set for Google Cloud Next 2020 It is April 6-8, 2020 in San Francisco Power BI has a new usage metrics report Power BI is the visualization and reporting tool from Microsoft. Training / Courses.

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AWS Machine Learning Blog

SEPTEMBER 9, 2024

To address customer needs for high performance and scalability in deep learning, generative AI, and HPC workloads, we are happy to announce the general availability of Amazon Elastic Compute Cloud (Amazon EC2) P5e instances, powered by NVIDIA H200 Tensor Core GPUs. AWS is the first leading cloud provider to offer the H200 GPU in production.

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AWS Machine Learning Blog

JULY 3, 2024

To answer this question, the AWS Generative AI Innovation Center recently developed an AI assistant for medical content generation. For this purpose, we use Amazon Textract, a machine learning (ML) service for entity recognition and extraction. Data Scientist with 8+ years of experience in Data Science and Machine Learning.

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AWS Machine Learning Blog

MARCH 23, 2023

This is joint post co-written by Leidos and AWS. Leidos has partnered with AWS to develop an approach to privacy-preserving, confidential machine learning (ML) modeling where you build cloud-enabled, encrypted pipelines. In this session, Feidenbaim describes two prototypes that were built in 2020. resource("s3").Bucket

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AWS Machine Learning Blog

MARCH 29, 2023

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

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AWS Machine Learning Blog

OCTOBER 26, 2023

Enterprises seek to harness the potential of Machine Learning (ML) to solve complex problems and improve outcomes. To learn more about SageMaker Canvas and how it helps make it easier for everyone to start with Machine Learning, check out the SageMaker Canvas announcement. References Lewis, P., Petroni, F.,

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

Since Amazon Bedrock is serverless, customers don’t have to manage any infrastructure, and they can securely integrate and deploy generative AI capabilities into their applications using the AWS services they are already familiar with. And you can expect the same AWS access controls that you have with any other AWS service.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

He is passionate about generative AI and is helping customers unlock business potential and drive actionable outcomes with machine learning at scale. You can also ask the model to combine its knowledge with the knowledge from the graph. 90B Vision model. Outside of work, he enjoys reading and traveling.

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