AWS Machine Learning Blog

NOVEMBER 13, 2024

To upload the dataset Download the dataset : Go to the Shoe Dataset page on Kaggle.com and download the dataset file (350.79MB) that contains the images. With Amazon OpenSearch Serverless, you don’t need to provision, configure, and tune the instance clusters that store and index your data. b64encode(image_file.read()).decode('utf-8')

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AWS Machine Learning Blog

OCTOBER 18, 2024

You can train foundation models (FMs) for weeks and months without disruption by automatically monitoring and repairing training clusters. In response, SageMaker provisions a resilient distributed training cluster with the requested number and type of compute instances to run the model training. uploaded_s3_uri = sagemaker.s3.S3Uploader.upload(

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PyImageSearch

SEPTEMBER 16, 2024

Home Table of Contents Credit Card Fraud Detection Using Spectral Clustering Understanding Anomaly Detection: Concepts, Types and Algorithms What Is Anomaly Detection? Spectral clustering, a technique rooted in graph theory, offers a unique way to detect anomalies by transforming data into a graph and analyzing its spectral properties.

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AWS Machine Learning Blog

MARCH 20, 2025

Solution overview Although the solution is versatile and can be adapted to use a variety of AWS Support Automation Workflows, we focus on a specific example: troubleshooting an Amazon Elastic Kubernetes Service (Amazon EKS) worker node that failed to join a cluster. For example, Why isnt my EKS worker node joining the cluster?

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AWS Machine Learning Blog

NOVEMBER 22, 2024

Although QLoRA helps optimize memory during fine-tuning, we will use Amazon SageMaker Training to spin up a resilient training cluster, manage orchestration, and monitor the cluster for failures. To take complete advantage of this multi-GPU cluster, we use the recent support of QLoRA and PyTorch FSDP. 24xlarge compute instance.

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Data Science 101

MAY 31, 2019

Avrim Blum, John Hopcroft, and Ravindran Kannan wrote the book, Foundations of Data Science (PDF download). It is free and available for download. It covers topics such as: Machine Learning Massive Data Clustering and many more. It can be useful for academic work or in business. See the video for more.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Building foundation models (FMs) requires building, maintaining, and optimizing large clusters to train models with tens to hundreds of billions of parameters on vast amounts of data. SageMaker HyperPod integrates the Slurm Workload Manager for cluster and training job orchestration.

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Pickl AI

JULY 29, 2024

Summary: A Hadoop cluster is a collection of interconnected nodes that work together to store and process large datasets using the Hadoop framework. Introduction A Hadoop cluster is a group of interconnected computers, or nodes, that work together to store and process large datasets using the Hadoop framework.

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Flipboard

MAY 13, 2025

Solution overview The solution uses Amazon EKS managed node groups to automate the provisioning and lifecycle management of nodes (Amazon EC2 instances) for the Amazon EKS Kubernetes cluster. Every managed node in the cluster is provisioned as part of an Amazon EC2 Auto Scaling group thats managed for you by EKS. Install Docker.

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DataRobot

APRIL 26, 2021

All of these techniques center around product clustering, where product lines or SKUs that are “closer” or more similar to each other are clustered and modeled together. Clustering by product group. The most intuitive way of clustering SKUs is by their product group. Clustering by sales profile.

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Dataconomy

MARCH 26, 2025

Download it and see for yourself. Contemporary models of comparable size typically demand far larger GPU clusters chewing through power in dedicated data centers. By contrast, DeepSeeks brand-new 0324 release is free to download under MIT terms. Want to know how it works? Running on a consumer machine? The outcome?

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Flipboard

FEBRUARY 16, 2023

Modern model pre-training often calls for larger cluster deployment to reduce time and cost. As part of a single cluster run, you can spin up a cluster of Trn1 instances with Trainium accelerators. Trn1 UltraClusters can host up to 30,000 Trainium devices and deliver up to 6 exaflops of compute in a single cluster.

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AWS Machine Learning Blog

FEBRUARY 7, 2025

For the time being, we use Amazon EKS to offload the management overhead to AWS, but we could easily deploy on a standard Kubernetes cluster if needed. The resources in the Kubernetes cluster are deployed in a private subnet. We use Karpenter as the cluster auto scaler. Our previous model was running on TorchServe.

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AWS Machine Learning Blog

JULY 17, 2023

In this post, we walk through step-by-step instructions to establish a cross-account connection to any Amazon Redshift node type (RA3, DC2, DS2) by connecting the Amazon Redshift cluster located in one AWS account to SageMaker Studio in another AWS account in the same Region using VPC peering.

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Flipboard

MAY 5, 2025

Jump Right To The Downloads Section Introduction What Is AWS OpenSearch? Amazon OpenSearch Service is a fully managed solution that simplifies the deployment, operation, and scaling of OpenSearch clusters in the AWS Cloud. For this setup: Choose 1 data node and let it handle both data processing and cluster management.

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AWS Machine Learning Blog

FEBRUARY 11, 2025

Although GraphStorm can run efficiently on single instances for small graphs, it truly shines when scaling to enterprise-level graphs in distributed mode using a cluster of Amazon Elastic Compute Cloud (Amazon EC2) instances or Amazon SageMaker. Today, AWS AI released GraphStorm v0.4. This dataset has approximately 170,000 nodes and 1.2

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AWS Machine Learning Blog

APRIL 1, 2024

Distributed model training requires a cluster of worker nodes that can scale. The following scaling chart shows that the p5.48xlarge instances offer 87% scaling efficiency with FSDP Llama2 fine-tuning in a 16-node cluster configuration. The example will also work with a pre-existing EKS cluster. Cluster with p4de.24xlarge

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AWS Machine Learning Blog

NOVEMBER 20, 2024

Under Settings , enter a name for your database cluster identifier. Amazon S3 bucket Download the sample file 2020_Sales_Target.pdf in your local environment and upload it to the S3 bucket you created. Delete the Aurora MySQL instance and Aurora cluster. Choose Create database. Select Aurora , then Aurora (MySQL compatible).

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Database AWS SQL ETL 119

Towards AI

FEBRUARY 13, 2024

Downloading YouTube Comments via Python API: The project starts by extracting comments from YouTube videos related to this specific movie. They are pretty straightforward, you can find the full documentation at this link: First of all we want to download the comments related to a video talking about a specific movie.

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AWS Machine Learning Blog

APRIL 18, 2025

The next step is to use a SageMaker Studio terminal instance to connect to the MSK cluster and create the test stream topic. The next step is to use a SageMaker Studio terminal instance to connect to the MSK cluster and create the test stream topic. Delete the automatically created Amazon OpenSearch Serverless cluster.

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Towards AI

FEBRUARY 29, 2024

Install Java and Download Kafka: Install Java on the EC2 instance and download the Kafka binary: 4. It communicates with the Cluster Manager to allocate resources and oversee task progress. SparkContext: Facilitates communication between the Driver program and the Spark Cluster.

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PyImageSearch

MAY 19, 2025

Jump Right To The Downloads Section Introduction In the previous post , we walked through the process of indexing and storing movie data in OpenSearch. Each word or sentence is mapped to a high-dimensional vector space, where similar meanings cluster together. Looking for the source code to this post? Figure 3: What Is Semantic Search?

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IBM Data Science in Practice

NOVEMBER 11, 2022

Latent Dirichlet Allocation (LDA) Topic Modeling LDA is a well-known unsupervised clustering method for text analysis. Then, the topic model applies a hierarchical clustering algorithm using conversation vectors from the output of the summary model. The LDA technique uses parametrized probability distributions for each document.

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Smart Data Collective

FEBRUARY 6, 2020

Teams that use Windows Enterprise also download and install Docker Desktop with a simple download. Similarly, you can download artifact management applications such as JFrog on your Windows system. Download and Install Docker Desktop. However, it still cannot function properly on all versions of Windows.

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Towards AI

APRIL 29, 2024

You’ll sign up for a Qdrant cloud account, install the necessary libraries, set up our environment variables, and instantiate a cluster — all the necessary steps to start building something. Source: Author You’ll need to create your cluster and get your API key. Click on the “Clusters” menu item. Copy that and keep it safe.

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AWS Machine Learning Blog

SEPTEMBER 7, 2023

Solution overview To demonstrate container-based GPU metrics, we create an EKS cluster with g5.2xlarge instances; however, this will work with any supported NVIDIA accelerated instance family. Create an EKS cluster with a node group This group includes a GPU instance family of your choice; in this example, we use the g5.2xlarge instance type.

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Dataconomy

MAY 26, 2025

This feature is especially useful for working with SQL Server 2019’s big data clusters. Installation process Users can download Azure Data Studio from Microsoft’s official website or GitHub. Getting started with Azure Data Studio For those new to Azure Data Studio, the installation and initial setup can be straightforward.

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AWS Machine Learning Blog

MAY 30, 2023

SageMaker supports various data sources and access patterns, distributed training including heterogenous clusters, as well as experiment management features and automatic model tuning. When an On-Demand job is launched, it goes through five phases: Starting, Downloading, Training, Uploading, and Completed.

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AWS Machine Learning Blog

MAY 23, 2024

By distributing experts across workers, expert parallelism addresses the high memory requirements of loading all experts on a single device and enables MoE training on a larger cluster. The following figure offers a simplified look at how expert parallelism works on a multi-GPU cluster.

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AWS Machine Learning Blog

OCTOBER 5, 2023

Our high-level training procedure is as follows: for our training environment, we use a multi-instance cluster managed by the SLURM system for distributed training and scheduling under the NeMo framework. First, download the Llama 2 model and training datasets and preprocess them using the Llama 2 tokenizer. Youngsuk Park is a Sr.

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Smart Data Collective

SEPTEMBER 17, 2020

A server cluster refers to a group of servers that share information and data. They might check in on Facebook and play a few games or download a new app to a computer that they also use for work. Good software can also identify anyone connected to your server cluster who should not be there. Cybersecurity Training.

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Applied Data Science

AUGUST 2, 2021

Download the free, unabridged version here. They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team. Download the free, unabridged version here. Team How to determine the optimal team structure ?

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AWS Machine Learning Blog

FEBRUARY 1, 2023

Amazon EKS is a managed Kubernetes service that simplifies the creation, configuration, lifecycle, and monitoring of Kubernetes clusters while still offering the full flexibility of upstream Kubernetes. Creation and attachment of the FSx for Lustre file system to the EKS cluster is mediated by the Amazon FSx for Lustre CSI driver.

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Smart Data Collective

NOVEMBER 12, 2021

Building a buyer persona is more than just downloading a template online, filling in the blanks, and giving a fancy name to your customer. This type of conversational data and insight can only be extracted when clustering social media mentions and conversations amongst a target group of individuals. Data-informed buyer persona.

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AWS Machine Learning Blog

MAY 1, 2024

In high performance computing (HPC) clusters, such as those used for deep learning model training, hardware resiliency issues can be a potential obstacle. Although hardware failures while training on a single instance may be rare, issues resulting in stalled training become more prevalent as a cluster grows to tens or hundreds of instances.

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ODSC - Open Data Science

MARCH 7, 2025

Federal Reserve Economic Data (FRED) Source: Federal Reserve Bank of St.Louis Features: Macroeconomic indicators, interest rates, inflation, GDPdata Use Cases: Economic forecasting, risk analysis, policy impact assessment Access: Free CSV downloads andAPI 3.

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Tableau

JUNE 17, 2021

Tableau Server in a Container ships as a tarball download which includes shell scripts that give you the ability to create Tableau Server Docker container images in your local environment. To get started with Tableau Server in a Container, you’ll download the tableau-server-setup-tool tarball to begin creating your containers!

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