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.

Data Science 107

Data Science Clustering Machine Learning Machine Learning 107

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.

Clustering 123

Clustering AWS Machine Learning Machine Learning 123

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.

Hadoop 52

Hadoop Clustering Big Data Big Data 52

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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Clustering Tableau Python 59

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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Clustering AWS Deep Learning Deep Learning 132

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.

Clustering 85

Clustering AWS ML ML 85

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.

Database 105

Database Clustering Python AI 105

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.

Python 105

Python Clustering AI AI 105

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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Clustering AWS ML ML 129

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.

Apache Kafka 142

Apache Kafka SQL Clustering Data Pipeline 142

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).

Database 112

Database AWS SQL ETL 112

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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Clustering Algorithm Data Science AI 130

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.

Big Data 124

Big Data Big Data Clustering Machine Learning 124

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.

Clustering 131

Clustering AWS Deep Learning Deep Learning 131

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.

AWS 118

AWS ML ML Clustering 118

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.

Analytics 108

Analytics Analytics Big Data Big Data 108

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 ?

Data Science 130

Data Science Data Scientist ML ML 130

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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Clustering Analytics Analytics Big Data 145

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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AWS Clustering Deep Learning Deep Learning 98

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 Deep Learning Deep Learning ML 87

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.

AWS 125

AWS Machine Learning Machine Learning Deep Learning 125

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!

Tableau 108

Tableau Clustering 108

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.

AWS 125

AWS ML ML Python 125

Flipboard

AUGUST 17, 2023

Choose Choose File and navigate to the location on your computer where the CloudFormation template was downloaded and choose the file. Download the GitHub repository Complete the following steps to download the GitHub repo: In the SageMaker notebook, on the File menu, choose New and Terminal.

ML 123

ML ML AWS Data Warehouse 123

Data Science Blog

FEBRUARY 23, 2023

Those researches are often conducted on easily available benchmark datasets which you can easily download, often with corresponding ground truth data (label data) necessary for training. In this case, original data distribution have two clusters of circles and triangles and a clear border can be drawn between them.

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

IBM Data Science in Practice

JANUARY 13, 2025

It is a cloud-native approach, and it suits a small team that does not want to host, maintain, and operate a Kubernetes cluster alonewith all the resulting responsibilities (and costs). Extract and Transform Steps The extraction is a streaming job, downloading the data from the source APIs and directly persisting it into COS.

ETL 100

ETL Data Pipeline Database Data Warehouse 100

PyImageSearch

JANUARY 6, 2025

In this blog post, we will delve into the mechanics of the Grubbs test, its application in anomaly detection, and provide a practical guide on how to implement it using real-world data. Thakur, eds., Join the Newsletter! Website The post Anomaly Detection: How to Find Outliers Using the Grubbs Test appeared first on PyImageSearch.

Python 112

Python Deep Learning Deep Learning Clustering 112

Dataconomy

MARCH 6, 2024

For the first time , this enables iPhone users to download applications from sources other than the Apple App Store. This includes the ability to install an iOS alternative app store via a web browser, enabling you to download applications from sources beyond the Apple App Store. With the release of iOS 17.4

Clustering 103

Clustering 103

AWS Machine Learning Blog

JUNE 7, 2023

Training setup We provisioned a managed compute cluster comprised of 16 dl1.24xlarge instances using AWS Batch. We developed an AWS Batch workshop that illustrates the steps to set up the distributed training cluster with AWS Batch. The distributed training workshop illustrates the steps to set up the distributed training cluster.

AWS 85

AWS Clustering Deep Learning Deep Learning 85

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.

AWS 124

AWS Machine Learning Machine Learning Deep Learning 124

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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AWS Clustering ML ML 124

Mlearning.ai

NOVEMBER 6, 2023

Downloading Requirements I recommend installing Hadoop on using the terminal it provides a easy way to check if your installation progressed successfully. To open the terminal on most Ubuntu systems the command is Ctrl+Alt+T once the terminal is opened we can start downloading the requirements using the command. tar -xvzf hadoop-3.3.6.tar.gz

Hadoop 52

Hadoop Clustering AI AI 52

Dataconomy

JANUARY 27, 2025

App Store downloads ahead of ChatGPT, despite being a relatively unknown Chinese startup until recently. This assertion comes as global tech firms have committed billions to AI chip clusters and data centers, with Nvidias market value surpassing $3 trillion earlier this month. ” The comments follow U.S.

AI 103

AI AI Artificial Intelligence Artificial Intelligence 103

Data Science Dojo

NOVEMBER 16, 2023

Using Colab this can take 2-5 minutes to download and initialize the model. Load HuggingFace open source embeddings models Embeddings are crucial for Language Model (LM) because they transform words or tokens into numerical vectors, enabling the model to understand and process them mathematically.

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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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AWS Machine Learning Blog

MARCH 6, 2023

These factors require training an LLM over large clusters of accelerated machine learning (ML) instances. Within one launch command, Amazon SageMaker launches a fully functional, ephemeral compute cluster running the task of your choice, and with enhanced ML features such as metastore, managed I/O, and distribution.

AWS 101

AWS Clustering ML ML 101

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.

Exploratory Data Analysis 130

Exploratory Data Analysis EDA Python Clustering 130