AWS Machine Learning Blog

JULY 25, 2024

Solution overview The solution is based on the node problem detector and recovery DaemonSet, a powerful tool designed to automatically detect and report various node-level problems in a Kubernetes cluster. Additionally, the node recovery agent will publish Amazon CloudWatch metrics for users to monitor and alert on these events.

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Flipboard

FEBRUARY 27, 2025

The first vase was a cluster of four vessels, all at different levels For the exhibition, Front presented the three vases alongside the sketches they were based on. See Dezeen Events Guide for more design exhibitions around the world. "We embrace the glitches and faults in AI processes and invite AI in as a creative partner."

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Analytics Vidhya

DECEMBER 30, 2022

All these sites use some event streaming tool to monitor user activities. […]. Introduction Have you ever wondered how Instagram recommends similar kinds of reels while you are scrolling through your feed or ad recommendations for similar products that you were browsing on Amazon?

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Data Science Dojo

MARCH 27, 2023

From vCenter, administrators can configure and control ESXi hosts, datacenters, clusters, traditional storage, software-defined storage, traditional networking, software-defined networking, and all other aspects of the vSphere architecture. VMware “clustering” is purely for virtualization purposes.

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ODSC - Open Data Science

FEBRUARY 23, 2023

Learn more about how you can volunteer for either the in-person or virtual team and get a free ticket to the event. Volunteer for ODSC East 2023 ODSC volunteers are an integral part of the success of each ODSC conference and a perfect extension of our core team and ambassadors to our community!

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IBM Journey to AI blog

JANUARY 8, 2024

In modern enterprises, where operations leave a massive digital footprint, business events allow companies to become more adaptable and able to recognize and respond to opportunities or threats as they occur. Teams want more visibility and access to events so they can reuse and innovate on the work of others.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

We spoke at multiple events, including hosting our own An evening with DeepRacer gathering. This event also sparked the creation of the AWS DeepRacer Community , which has since grown to over 45,000 members. Despite this, exciting events like the AWS DeepRacer F1 Pro-Am kept the community engaged.

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Hacker News

JUNE 12, 2024

Efficient preservation of the training state : In the event of a failure, we need to be able to pick up where we left off. The number of failures scales with the size of the cluster, and having a job that spans the cluster makes it necessary to keep adequate spare capacity to restart the job as soon as possible.

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IBM Journey to AI blog

JUNE 21, 2023

IBM Cloud Event Notifications is a service that can filter and route events received from other IBM Cloud services or custom applications to communication channels like email, SMS, push notifications, webhook, Slack, Microsoft® Teams, ServiceNow, IBM Cloud Code Engine and IBM Cloud Object Storage.

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Flipboard

JUNE 5, 2023

As Tim Cook takes his first steps into VR headsets, the tech world's biggest buzzword is banned from the event. One resembles the kind of pickup soccer game, usually with very young kids or drunk adults, where every player clusters in a … Here's why. There are, roughly speaking, two Silicon Valleys.

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Dataconomy

JANUARY 3, 2024

From local happenings to global events, understanding the torrent of information becomes manageable when we apply intelligent data strategies to our media consumption. Machine learning: curating your news experience Data isn’t just a cluster of numbers and facts; it’s becoming the sculptor of the media experience.

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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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Hacker News

JUNE 12, 2024

Meta is currently operating many data centers with GPU training clusters across the world. Meta’s training infrastructure comprises dozens of AI clusters of varying sizes, with a plan to scale to 600,000 GPUs in the next year. It runs thousands of training jobs every day from hundreds of different Meta teams.

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IBM Journey to AI blog

APRIL 2, 2024

A messaging queue technology is essential for businesses to stay afloat, but building out event-driven architecture fueled by messaging might just be your x-factor. The core of building this real-time responsiveness lies in messaging, but its value can be expanded through event-driven architectures.

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Hacker News

SEPTEMBER 6, 2023

By analysing existing single-cell RNA-sequencing databases and our patch-seq data, we identified nine molecularly distinct clusters of hippocampal astrocytes, among which we found a notable subpopulation that selectively expressed synaptic-like glutamate-release machinery and localized to discrete hippocampal sites.

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Smart Data Collective

NOVEMBER 1, 2020

The unsupervised ML algorithms are used to: Find groups or clusters; Perform density estimation; Reduce dimensionality. In this regard, unsupervised learning falls into two groups of algorithms – clustering and dimensionality reduction. Clustering – Exploration of Data. Dimensionality Reduction – Modifying Data.

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Pickl AI

MAY 10, 2023

ML algorithms fall into various categories which can be generally characterised as Regression, Clustering, and Classification. While Classification is an example of directed Machine Learning technique, Clustering is an unsupervised Machine Learning algorithm. It can also be used for determining the optimal number of clusters.

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Dataconomy

MARCH 17, 2025

By identifying patterns within the data, it helps organizations anticipate trends or events, making it a vital component of predictive analytics. Definition and overview of predictive modeling At its core, predictive modeling involves creating a model using historical data that can predict future events.

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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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Smart Data Collective

SEPTEMBER 22, 2021

It has vastly simplified container deployment and management yet with the added complexity of managing clusters. Connectivity issues can be categorized as internal connectivity issues that occur within the cluster and external connectivity issues that block access to the cluster or third-party data sets.

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AWS Machine Learning Blog

FEBRUARY 13, 2025

Amazon Simple Queue Service (Amazon SQS) Amazon SQS is used to queue events. It consumes one event at a time so it doesnt hit the rate limit of Cohere in Amazon Bedrock. The following image uses these embeddings to visualize how topics are clustered based on similarity and meaning. What are embeddings?

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Flipboard

NOVEMBER 25, 2024

Most AI activity is clustered around the Seattle metro area, leaving other parts of Washington underrepresented and less developed in AI initiatives, according to WTIA’s new report. For more insights from the WTIA report, and methodology details, go here.

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ODSC - Open Data Science

SEPTEMBER 8, 2023

At this Fall’s Open Data Science Conference , I will talk about how to bring a systematic approach to the interpretation of clustering models. To get ready for that, let’s talk about data visualization for clustering models. data # center and scale clusterable features diabetesScaler = MinMaxScaler().fit(diabetesData)

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IBM Journey to AI blog

NOVEMBER 21, 2023

Apache Kafka is a well-known open-source event store and stream processing platform and has grown to become the de facto standard for data streaming. A schema registry supports your Kafka cluster by providing a repository for managing and validating schemas within that cluster. What is a schema registry?

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Towards AI

MARCH 13, 2025

Louis-Franois Bouchard, Towards AI Co-founder & Head of Community This issue is brought to you thanks to NVIDIA GTC: NVIDIA GTC is back, and its shaping up to be one of the biggest AI events of the year! 📅 March 1721📍 San Jose, CA & Online Learn AI Together Community section!

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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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ODSC - Open Data Science

MAY 31, 2023

Apache Kafka is an event streaming platform that collects, stores, and processes streams of data (events) in real-time and in an elastic, scalable, and fault-tolerant manner. Consumers read the events and process the data in real-time. The TensorFlow instance acts as a Kafka consumer to load new events into its memory.

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Data Science Dojo

AUGUST 19, 2024

This is used for tasks like clustering, dimensionality reduction, and anomaly detection. For example, clustering customers based on their purchase history to identify different customer segments. Networking Platforms: Meetup: Attend AI-related meetups and networking events to connect with professionals in the field.

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IBM Journey to AI blog

AUGUST 22, 2024

Event-driven architecture (EDA) has become more crucial for organizations that want to strengthen their competitive advantage through real-time data processing and responsiveness. In recognizing the benefits of event-driven architectures, many companies have turned to Apache Kafka for their event streaming needs.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

This capability allows for the seamless addition of SageMaker HyperPod managed compute to EKS clusters, using automated node and job resiliency features for foundation model (FM) development. FMs are typically trained on large-scale compute clusters with hundreds or thousands of accelerators.

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AWS Machine Learning Blog

APRIL 19, 2024

The architecture deploys a simple service in a Kubernetes pod within an EKS cluster. The Kubernetes Event Driven Autoscaler ( KEDA ) is configured to automatically scale the number of service pods, based on the custom metrics available in Prometheus. xlarge nodes is included to run system pods that are needed by the cluster.

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IBM Journey to AI blog

FEBRUARY 15, 2024

Logs Logs include discrete events recorded every time something occurs in the system, such as status or error messages, or transaction details. Autoscaling When traffic spikes, Kubernetes can automatically spin up new clusters to handle the additional workload. Kubernetes logs can be written in both structured and unstructured text.

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Dataconomy

OCTOBER 13, 2023

Supported by Coders HQ—a standout initiative by the UAE government—and the Python Software Foundation, this year’s event is designed to cultivate innovation and foster meaningful connections. During a special pre-event interaction, we delved into the perspective of JJ Asghar, a Developer Advocate at IBM. JJ Asghar Yep!

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AWS Machine Learning Blog

FEBRUARY 7, 2025

The implementation uses Slacks event subscription API to process incoming messages and Slacks Web API to send responses. The incoming event from Slack is sent to an endpoint in API Gateway, and Slack expects a response in less than 3 seconds, otherwise the request fails. Sonnet model for natural language processing.

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Dataconomy

DECEMBER 24, 2024

With positive momentum expected at significant upcoming events, like Nvidia CEO Jensen Huang’s keynote at CES 2025, attention is firmly placed on how the company will navigate the next few months. The firm’s ongoing investments in AI capital expenditures are positioned well amid increasing demand for advanced GPU clusters.

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Data Science Dojo

JULY 24, 2023

Clusters : Clusters are groups of interconnected nodes that work together to process and store data. Clustering allows for improved performance and fault tolerance as tasks can be distributed across nodes. Each node is capable of processing and storing data independently.

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Mlearning.ai

APRIL 15, 2023

How Clustering Can Help You Understand Your Customers Better Customer segmentation is crucial for businesses to better understand their customers, target marketing efforts, and improve satisfaction. Clustering, a popular machine learning technique, identifies patterns in large datasets to group similar customers and gain insights.

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