Data Science Dojo

OCTOBER 16, 2023

Probability distributions: Probability distributions serve as foundational concepts in statistics and mathematics, providing a structured framework for characterizing the probabilities of various outcomes in random events.

Hypothesis Testing 366

Hypothesis Testing Data Visualization Data Science Clustering 366

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."

AI 140

AI AI Artificial Intelligence Artificial Intelligence 140

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?

Apache Kafka 315

Apache Kafka Data Science Analytics Analytics 315

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.

Clustering 195

Clustering Database SQL 195

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.

AWS 112

AWS ML ML AI 112

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!

Clustering 98

Clustering Data Science Machine Learning Machine Learning 98

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.

EDA 92

EDA Apache Kafka Clustering Data Governance 92

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 S3 bucket is configured in such a way that it forwards (2) all events into EventBridge. The resources in the Kubernetes cluster are deployed in a private subnet.

Analytics 73

Analytics Analytics AWS Clustering 73

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.

Clustering 181

Clustering Algorithm AI AI 181

AWS Machine Learning Blog

APRIL 2, 2025

At its core, Ray offers a unified programming model that allows developers to seamlessly scale their applications from a single machine to a distributed cluster. A Ray cluster consists of a single head node and a number of connected worker nodes. Ray clusters and Kubernetes clusters pair well together.

Clustering 121

Clustering AWS AI AI 121

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.

Clustering 72

Clustering 72

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.

Clustering 123

Clustering AI AI Computer Science 123

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.

Clustering 57

Clustering Algorithm Machine Learning Machine Learning 57

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.

Data Analysis 207

Data Analysis Data Analysis Big Data Big Data 207

Flipboard

MAY 6, 2025

electricity provider National Grid faces a problem every time there is a soccer match on (or any other widely viewed televised event for that matter): During half-time, or a commercial break, an inordinate number of viewers go to turn on their tea kettles. In the U.K., However, Lee notes, this is not a panacea.

AI 146

AI AI Clustering 146

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 129

Clustering AWS Machine Learning Machine Learning 129

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?

AWS 116

AWS K-nearest Neighbors Clustering Algorithm 116

Dataconomy

MARCH 19, 2025

The Blackwell Ultra DGX GB300 Superpod cluster will maintain its configuration of 288 CPUs and 576 GPUs, delivering 11.5 Specifically, the NVL72 cluster can execute an interactive version of DeepSeek-R1 671B, receiving answers in ten seconds rather than the H100’s 1.5 Featured image credit: Nvidia

Clustering 91

Clustering AI AI Artificial Intelligence 91

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.

Apache Kafka 75

Apache Kafka Clustering SQL AI 75

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.

Clustering 177

Clustering AI AI Artificial Intelligence 177

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.

Clustering 181

Clustering Database 181

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.

Machine Learning 145

Machine Learning Machine Learning Clustering Data Mining 145

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.

Clustering 143

Clustering Big Data Big Data 143

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.

Decision Trees 91

Decision Trees Predictive Analytics Data Preparation Machine Learning 91

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. Prepare the test data. ticker price OOOO $44.50 ZVZZT $3,413.23 ZNRXX $208.76

Apache Kafka 92

Apache Kafka AWS Clustering Database 92

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)

Clustering 52

Clustering Data Science Data Scientist Predictive Analytics 52

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?

Apache Kafka 116

Apache Kafka Clustering Data Quality Data Governance 116

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.

Artificial Intelligence 145

Artificial Intelligence Artificial Intelligence Clustering AI 145

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 91

Clustering AWS ML ML 91

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.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

KDnuggets

JUNE 6, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Error Handling Patterns in Python (Beyond Try-Except) Stop letting errors crash your app.

Python 171

Python Natural Language Processing Data Science Machine Learning 171

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.

Clustering 93

Clustering AWS ML ML 93

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.

AI 364

AI AI Machine Learning Machine Learning 364

Flipboard

MAY 5, 2025

Amazon OpenSearch Service is a fully managed solution that simplifies the deployment, operation, and scaling of OpenSearch clusters in the AWS Cloud. Log and Event Analytics: Index, store, and analyze logs from cloud applications, security monitoring tools, and observability platforms to detect trends and troubleshoot issues.

AWS 95

AWS Clustering Deep Learning Deep Learning 95

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.

EDA 40

EDA Apache Kafka Clustering 40

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.

Clustering 131

Clustering AI AI AWS 131

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.

AWS 88

AWS AI AI Python 88