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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Mlearning.ai

SEPTEMBER 16, 2023

Setting Up KServe To demo the Hugging Face model on KServe we’ll use the local (Windows OS) quick install method on a minikube kubernetes cluster. Let’s start the minikube cluster once our local minikube installation is completed. cd kubeflow git clone [link] We can’t download the Istio 1.17.2 from the release page for Windows.

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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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AWS Machine Learning Blog

APRIL 29, 2024

With Trainium available in AWS Regions worldwide, developers don’t have to take expensive, long-term compute reservations just to get access to clusters of GPUs to build their models. In this part, we used the AWS pcluster command to run a.yaml file to generate the cluster. Our cluster consisted of 16 nodes, each equipped with a trn1n.32xlarge

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Towards AI

APRIL 30, 2024

BERTopic According to the official documentation, BERTopic “is a topic modeling technique that leverages 🤗 transformers and c-TF-IDF to create dense clusters allowing for easily interpretable topics whilst keeping important words in the topic descriptions”.

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Mlearning.ai

FEBRUARY 18, 2023

with sdk v2 import libraries import tqdm import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sns sns.set_style("whitegrid") import the data set # Import required libraries from azure.identity import DefaultAzureCredential from azure.identity import AzureCliCredential from azure.ai.ml

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IBM Data Science in Practice

DECEMBER 21, 2023

Text-to-speech service After the post request, you can save the audio output in your local directory or the cluster. To learn more about the TTS service, you can download the code from GitHub. You can set the parameters and synthesize-service endpoint as shown below. Speech data output 3.

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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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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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AWS Machine Learning Blog

DECEMBER 12, 2023

Walkthrough Download the pre-tokenized Wikipedia dataset as shown: export DATA_DIR=~/examples_datasets/gpt2 mkdir -p ${DATA_DIR} && cd ${DATA_DIR} wget [link] wget [link] aws s3 cp s3://neuron-s3/training_datasets/gpt/wikipedia/my-gpt2_text_document.bin. Each trn1.32xl has 16 accelerators with two workers per accelerator.

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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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AWS Machine Learning Blog

APRIL 7, 2023

To learn more about deploying geo-distributed applications on AWS Wavelength, refer to Deploy geo-distributed Amazon EKS clusters on AWS Wavelength. Create AWS Wavelength infrastructure Before we convert the local SageMaker model inference endpoint to a Kubernetes deployment, you can create an EKS cluster in a Wavelength Zone.

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Pickl AI

JUNE 7, 2023

Customer Segmentation using K-Means Clustering One of the most crucial uses of data science is customer segmentation. You will need to use the K-clustering method for this GitHub data mining project. This renowned unsupervised machine learning approach splits data into K clusters based on similarities.

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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

JULY 11, 2023

When it comes to ML, this restricts data scientists from downloading any package from public repositories like PyPI , Anaconda , or Conda-Forge. All the dependencies will be downloaded from the private PyPI repository. Note that all the dependencies will be downloaded from the private repository. and model.py gamma: float = 0.7,

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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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Tableau

JUNE 16, 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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phData

MAY 3, 2024

How Snowflake Helps Achieve Real-Time Analytics Snowflake is the ideal platform to achieve real-time analytics for several reasons, but two of the biggest are its ability to manage concurrency due to the multi-cluster architecture of Snowflake and its robust connections to 3rd party tools like Kafka.

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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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AWS Machine Learning Blog

APRIL 18, 2024

Download and install the Chrome browser extension For the best meeting streaming experience, install the LMA browser plugin (currently available for Chrome): Choose Download Chrome Extension to download the browser extension.zip file ( lma-chrome-extension.zip ). Enable Developer mode. This loads your extension.

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Towards AI

JUNE 27, 2023

With an impressive collection of efficient tools and a user-friendly interface, it is ideal for tackling complex classification, regression, and cluster-based problems. Moreover, the library can be downloaded in its entirety from reliable sources such as GitHub at no cost, ensuring its accessibility to a wide range of developers.

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phData

FEBRUARY 9, 2024

Data Backup tsm maintenance backup -f -d Settings Backup tsm settings export --output-config-file You must download and copy the Tableau Server Setup program to the computer running Tableau Server. If you are running a multi-node deployment of Tableau Server, copy the Setup program to each node in the cluster.

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Mlearning.ai

APRIL 1, 2023

Responsible AI in Predictive Maintenance — Using NASA Turbofan Engine Degradation Dataset — Using sklearn End to End Train model and perform Responsible AI on NASA Turbofan Engine Degradation Dataset Introduction Using NASA Turbofan Engine Degradation Dataset, we will train a model to predict Remaining Useful Life (RUL) of an engine.

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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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PyImageSearch

JANUARY 9, 2023

Jump Right To The Downloads Section Face Recognition with Siamese Networks, Keras, and TensorFlow Deep learning models tend to develop a bias toward the data distribution on which they have been trained. Download the code! To learn how to develop Face Recognition applications using Siamese Networks, just keep reading.

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AWS Machine Learning Blog

MAY 25, 2023

This will create all the necessary infrastructure resources needed for this solution: SageMaker endpoints for the LLMs OpenSearch Service cluster API Gateway Lambda function SageMaker Notebook IAM roles Run the data_ingestion_to_vectordb.ipynb notebook in the SageMaker notebook to ingest data from SageMaker docs into an OpenSearch Service index.

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Mlearning.ai

MAY 19, 2023

Streaming data for training : Automatic recovery during training MosaicML team utilized StreamingDataset to efficiently host and stream their data from a standard cloud object store to their compute cluster during training. You can use MosaicML’s hero clustering offering today to train a new model from scratch.

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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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ODSC - Open Data Science

JULY 26, 2023

Typical unsupervised learning tasks include clustering (e.g., Unsupervised Learning In unsupervised learning, the algorithm is fed an unlabelled dataset, and it attempts to discover hidden patterns or structures within the data. grouping customers based on their behaviour) and dimensionality reduction (e.g.,

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AWS Machine Learning Blog

APRIL 5, 2023

The first step is to download the pre-trained model weighting file, put it into a model.tar.gz This includes configuring an OpenSearch Service cluster, ingesting item embedding, and performing free text and image search queries. Set up the OpenSearch Service domain using k-NN settings Earlier, you created an OpenSearch cluster.

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phData

MARCH 6, 2023

Delving further into KNIME Analytics Platform’s Node Repository reveals a treasure trove of data science-focused nodes, from linear regression to k-means clustering to ARIMA modeling—and quite a bit in between. To study this relationship, we can build a linear regression model in KNIME using a dataset we downloaded from NOAA.

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Smart Data Collective

MARCH 29, 2019

This technology looks at historical records of data breaches and attempts to look for clustering relationships. This enables them to gain the trust of their targets, so they can keep them into downloading malware or dropping their defenses. Crypto hackers don’t usually rely entirely on brute force attacks.

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Mlearning.ai

FEBRUARY 6, 2023

Cluster resources are provisioned for the duration of the job, and cleaned up when it completes. The path in the processing container must begin with /opt/ml/processing/. More on this is discussed later. Note: /opt/ml and all its subdirectories are reserved by SageMaker. -ne docker build -t ${algorithm_name}.

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AWS Machine Learning Blog

APRIL 29, 2024

You can use artifacts to manage configuration, so everything from hyperparameters to cluster sizing can be managed in a single file, tracked alongside the results. Deployment To deploy a Metaflow stack using AWS CloudFormation , complete the following steps: Download the CloudFormation template. Downloading code package.

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AWS Machine Learning Blog

MAY 10, 2023

In addition to the IAM user and assumed role session scheduling the job, you also need to provide a role for the notebook job instance to assume for access to your data in Amazon Simple Storage Service (Amazon S3) or to connect to Amazon EMR clusters as needed. On the File menu, choose New and Notebook. pip install pandas !pip

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Mlearning.ai

JUNE 4, 2023

Thus, let’s download it and explore it! Citing the original description: This is the classification based E-commerce text dataset for 4 categories — “Electronics”, “Household”, “Books” and “Clothing & Accessories”, which almost cover 80% of any E-commerce website. […] The dataset has been scraped from Indian e-commerce platform.

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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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