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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Analytics Vidhya

OCTOBER 7, 2021

This article was published as a part of the Data Science Blogathon Overview Data provides us with the power to analyze and forecast the events of the future. With each day, more and more companies are adopting data science techniques like predictive forecasting, clustering, and so on.

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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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Data Science Dojo

JULY 15, 2024

These anomalies can signal potential errors, fraud, or critical events that require attention. Clustering Algorithms: Clustering algorithms can group data points with similar features. Points that don’t belong to any well-defined cluster might be anomalies. Points far away from others are considered anomalies.

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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

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.

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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.

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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.

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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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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.

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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.

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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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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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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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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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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.

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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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Data Science Dojo

FEBRUARY 7, 2023

Top statistical techniques – Data Science Dojo Counterfactual causal inference: Counterfactual causal inference is a statistical technique that is used to evaluate the causal significance of historical events. This technique can be used in a wide range of fields such as economics, history, and social sciences.

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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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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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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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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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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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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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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.

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Pickl AI

OCTOBER 22, 2024

A cluster consists of multiple nodes. Cluster : A collection of nodes working together. Each cluster has a unique name and can scale by adding more nodes. Scalability Built on a distributed architecture, Search engine allows you to scale horizontally by adding more nodes to your cluster.

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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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Precisely

JULY 1, 2024

Classification is similar to clustering in a way that it also segments data records into different segments called classes. But unlike clustering, here the data analysts would have the knowledge of different classes or cluster. It is used to classify different data in different classes.

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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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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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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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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.

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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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IBM Journey to AI blog

AUGUST 8, 2023

This inefficient utilization can create workload scheduling issues, hamper cluster performance and trigger additional scaling events, further amplifying expenses. First, resource utilization needs to be continuously tracked across all workloads deployed on a cluster, enabling continuous assessment of resource needs accurately.

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IBM Journey to AI blog

SEPTEMBER 4, 2024

Apache Kafka is an open-source , distributed streaming platform that allows developers to build real-time, event-driven applications. Apache’s architecture is made up of three categories—events, producers and consumers—and it relies heavily on application programming interfaces (APIs) to function.

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ODSC - Open Data Science

JUNE 6, 2023

Historically, our space has perceived streaming as a complex technology reserved for experienced data engineers with a deep understanding of incremental event processing. When combined with event-time windows, analyzing the embeddings in real-time becomes much more feasible. October 2022).

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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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