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

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.

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Clustering Database SQL 195

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

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

ML @ CMU

NOVEMBER 7, 2024

In close collaboration with the UN and local NGOs, we co-develop an interpretable predictive tool for landmine contamination to identify hazardous clusters under geographic and budget constraints, experimentally reducing false alarms and clearance time by half. The major components of RELand are illustrated in Fig.

Clustering 153

Clustering Cross Validation Machine Learning Machine Learning 153

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 261

Hypothesis Testing Data Visualization Data Science Clustering 261

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

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 Artificial Intelligence Artificial Intelligence 207

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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Apache Kafka Clustering SQL AI 75

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

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 149

Artificial Intelligence Artificial Intelligence AI AI 149

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 131

Clustering AWS Machine Learning Machine Learning 131

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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Clustering AI AI Artificial Intelligence 179

DataRobot

APRIL 26, 2021

Using historical sales data, together with data related to product features, calendar of events, and economic indicators, we can produce forecasts of future demand. 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 59

Clustering Tableau Python 59

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 56

Clustering Algorithm Machine Learning Machine Learning 56

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 182

Clustering Database 182

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.

Clustering 52

Clustering Decision Trees Machine Learning Machine Learning 52

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 141

Machine Learning Machine Learning Clustering Data Mining 141

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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Clustering Big Data Big Data 136

Flipboard

NOVEMBER 27, 2024

By using dbt Cloud for data transformation, data teams can focus on writing business rules to drive insights from their transaction data to respond effectively to critical, time sensitive events. Solution overview Let’s consider TICKIT , a fictional website where users buy and sell tickets online for sporting events, shows, and concerts.

ETL 138

ETL Data Warehouse Analytics Analytics 138

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?

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Apache Kafka Clustering Data Quality Data Governance 116

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 132

Clustering AI AI AWS 132

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

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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Clustering AWS ML ML 88

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.

Clustering 84

Clustering Azure Data Visualization AWS 84

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!

AI 132

AI AI Clustering Python 132

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.

Big Data 195

Big Data Big Data Data Engineering Data Engineer 195

AWS Machine Learning Blog

JANUARY 17, 2024

It can represent a geographical area as a whole or it can represent an event associated with a geographical area. We can analyze activities by identifying stops made by the user or mobile device by clustering pings using ML models in Amazon SageMaker. Manually managing a DIY compute cluster is slow and expensive.

Clustering 135

Clustering AWS ML ML 135

Snorkel AI

MARCH 29, 2023

Doctors and medical professionals have long struggled to predict and understand the adverse drug events prescriptions can have on their patients, but machine learning and artificial intelligence can help doctors prescribe drugs more intelligently.

Machine Learning 52

Machine Learning Machine Learning Clustering Data Scientist 52

Towards AI

FEBRUARY 29, 2024

Apache Kafka Apache Kafka is a distributed event streaming platform used for building real-time data pipelines and streaming applications. 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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Apache Kafka SQL Clustering Data Pipeline 142

Data Science Blog

MARCH 30, 2023

Der andere Teil des Process Minings ist jedoch noch viel wesentlicher, denn es handelt sich dabei um das Fundament der Analyse: Die Datenmodellierung des Event Logs. Jedes Process Mining Tool benötigt pro Use Case mindestens ein Event Log. Idealerweise werden nur fertige Event-Logs bzw. Celonis Process Mining) übertragen.

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Power BI 147

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.

Clustering 97

Clustering Algorithm Machine Learning Machine Learning 97

AWS Machine Learning Blog

AUGUST 8, 2023

You can run Spark applications interactively from Amazon SageMaker Studio by connecting SageMaker Studio notebooks and AWS Glue Interactive Sessions to run Spark jobs with a serverless cluster. With interactive sessions, you can choose Apache Spark or Ray to easily process large datasets, without worrying about cluster management.

AWS 88

AWS Clustering Machine Learning Machine Learning 88

IBM Journey to AI blog

JULY 12, 2024

IBM® Event Automation’s event endpoint management capability makes it easy to describe and document your Kafka topics (event sources) according to the open source AsyncAPI Specification. Thus, events need to be fully leveraged and spread across the organization in order for businesses to truly move with agility.

Apache Kafka 40

Apache Kafka Clustering 40

Towards AI

JUNE 19, 2024

– Algorithms: K-means Clustering, ISODATA. Use Cases: Initial data exploration, finding natural clusters in data. Change detection procedures in remote sensing and GIS are based on finding differences in two satellite images before and after a certain event. . – Use Cases: Land cover classification, urban planning.

Algorithm 81

Algorithm Clustering Support Vector Machines Machine Learning 81