IBM Journey to AI blog

AUGUST 17, 2023

Sure, there are endless Kubernetes cost monitoring tools available that allow you to keep tabs on various aspects of your cluster’s resource usage, like CPU, memory, storage and network. Let’s begin by looking at your container clusters. Get started with IBM Turbonomic or request a demo with one of our experts today.

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Clustering 75

Towards AI

JANUARY 28, 2024

toarray() col_names = [f'Cluster_{i}' for i in range(self.n_cluster)] cluster_df = pd.DataFrame(geo_matrix, columns=col_names) return feature_df.join(cluster_df) The latitude and longitude of the houses are clustered into n_clusters via k-means. These clusters are then one-hot-encoded and added as features.

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Cambridge Intelligence

NOVEMBER 1, 2022

In the latest KeyLines and ReGraph versions, the hybrid network and timeline visualization demos have had a KronoGraph 2.0 The network view in our Timeline demos is the best way to explore relationships and connections between nodes. The examples show call data records (CDR) between student clusters to reveal patterns of behavior.

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Clustering 52

Data Science Dojo

NOVEMBER 16, 2023

For this demo we are using employee sample data csv file which is uploaded in colab’s environment. Creating vectorstore For this demonstration, we are going to use FAISS vectorstore. Facebook AI Similarity Search (Faiss) is a library for efficient similarity search and clustering of dense vectors.

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DataRobot

JUNE 8, 2021

Cluster Analysis. Cluster analysis or clustering is an unsupervised learning method that groups objects in such a way that objects in the same group (a cluster) are more similar to each other than to those in other groups (clusters). Unlike personas, however, cluster analysis is data-driven.

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Cambridge Intelligence

OCTOBER 15, 2024

are available now to all customers and evaluators, with showcase demos and fully-documented examples to help you get started with the annotations layer. Request full access to our SDKs, demos and live-coding playgrounds. and KronoGraph 3.0 Find out what’s possible with your data – sign up for a free trial today.

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Data Science Dojo

NOVEMBER 16, 2023

For this demo we are using employee sample data csv file which is uploaded in colab’s environment. CREATING VECTORSTORE For this demonstration, we are going to use FAISS vectorstore. Facebook AI Similarity Search (Faiss) is a library for efficient similarity search and clustering of dense vectors.

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Natural Language Processing Clustering Algorithm AI 150

Mlearning.ai

SEPTEMBER 16, 2023

Setting Up KServe To demo the Hugging Face model on KServe we’ll use the local (Windows OS) quick install method on a minikube kubernetes cluster. The standalone “quick install” installs Istio and KNative for us without having to install all of Kubeflow and the extra components that tend to slow down local demo installs.

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Mlearning.ai

AUGUST 28, 2023

Resources include the: Resource group, Azure ML studio, Azure Compute Cluster. Resources include the: Resource group, Azure ML studio, Azure Compute Cluster. Resources include the: Resource group, Azure ML studio, Azure Compute Cluster. Resources include the: Resource group, Azure ML studio, Azure Compute Cluster.

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DataRobot Blog

NOVEMBER 3, 2022

To understand how DataRobot AI Cloud and Big Query can align, let’s explore how DataRobot AI Cloud Time Series capabilities help enterprises with three specific areas: segmented modeling, clustering, and explainability. Enable Granular Forecasts with Clustering. This is where clustering comes in.

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AWS Machine Learning Blog

APRIL 11, 2024

The Next Platform ran an in-depth piece on Ceiba, stating that “the size and the aggregate compute of Ceiba cluster are both being radically expanded, which will give AWS a very large supercomputer in one of its data centers” and NVIDIA will use it to do AI research, among other things.

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DataRobot

DECEMBER 20, 2021

Multimodal Clustering. Multimodal Clustering provides users with a one-click, one line-of-code experience to build and deploy clustering models on any data, including images. Get Started for Free or reach out to our team to request a demo. Interested to learn more? Free Trial. See Visual AI in Action Today.

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Clustering Deep Learning Deep Learning Exploratory Data Analysis 97

Flipboard

AUGUST 17, 2023

Deploy the CloudFormation template Complete the following steps to deploy the CloudFormation template: Save the CloudFormation template sm-redshift-demo-vpc-cfn-v1.yaml Enter a stack name, such as Demo-Redshift. You should see a new CloudFormation stack with the name Demo-Redshift being created. yaml locally.

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Data Science Dojo

JULY 17, 2023

Scikit-learn can be used for a variety of data analysis tasks, including: Classification Regression Clustering Dimensionality reduction Feature selection Leveraging Scikit-learn in data analysis projects Scikit-learn can be used in a variety of data analysis projects. It is open-source, so it is free to use and modify.

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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. Note that this integration is only available in us-east-1 and us-west-2 , and you will be using us-east-1 for the duration of the demo. The following diagram illustrates this architecture.

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Mlearning.ai

JULY 9, 2023

I realized that the algorithm assumes that we like a particular genre and artist and groups us into these clusters, not letting us discover and experience new music. You can check a live demo of the app using the link below: Spotify Reccomendation BECOME a WRITER at MLearning.ai // invisible ML // 800+ AI tools Mlearning.ai

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Algorithm Azure Clustering ML 52

Towards AI

APRIL 7, 2024

There are two stages involved in Auto-CoT Stage A: Create clusters from a dataset of diverse question Stage B: Select one question from each cluster and generate its reasoning chain using Zero-Shot-CoT with simple heuristics Auto-CoT — A two-stage process — Source: Image by Author The Questions with Reasoning Chain in the Demo are then used as examples (..)

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DataRobot

JUNE 10, 2021

Upon further reflection of the embeddings, it’s possible to see clusters of particular molecules. We have highlighted this by indicating three clusters of fruit, herbal, and woody molecules. This clustering suggests that the images are carrying information about the type of molecules they are. Request a demo.

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phData

APRIL 18, 2024

Confluent offers a cloud version of Kafka, but for this demo, we will use the local version using a docker setup. Once this is confirmed, run the following command to install the Kafka connector inside the container and then restart the connected cluster. However, there are still limitations based on the complexity of the data.

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Clustering Data Engineering Data Engineer Data Engineering 52

DataRobot

JUNE 16, 2021

The MLOps Management Agent provides a framework to automate the entire model deployment lifecycle in any environment or infrastructure such as Azure, GCP, AWS, or your own on-premise Kubernetes cluster. To see a demo or to learn how it can be applied to your current use cases, reach out to your DataRobot account team or request a demo today.

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Azure Data Science Clustering AWS 52

Pickl AI

APRIL 5, 2023

Moreover, you will also learn the use of clustering and dimensionality reduction algorithms. This course is useful for Data Scientists who are keen to expand their expertise in ML. Skill Level – Anyone who wants to learn Machine Learning Course Content Feature Selection How does a model learn?

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Machine Learning Machine Learning ML ML 52

IBM Journey to AI blog

JANUARY 8, 2024

Kafka clusters can be automatically scaled based on demand, with full encryption and access control. For disaster recovery, the geo-replication feature can create copies of event data to send to a backup cluster, with the user interface making this configurable in a few clicks.

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Cambridge Intelligence

NOVEMBER 24, 2022

Request full access to our KronoGraph SDK, demos and live-coding playground. This means users can see information related to whole clusters of events, making it easier to spot trends, activity spikes and recurring patterns. Sign up for a free KronoGraph trial to see this new feature in action. It’s in our Reveal story.

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DataRobot Blog

JULY 27, 2022

The Demo: Autoscaling with MLOps. In this demo, we are completely unattended. If you want to take this demo and rip out a few parts to incorporate into your production code, you’re free to do so. Admin keys are not required for this demo. There are no web UIs or buttons you need to click.

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AWS Machine Learning Blog

MAY 23, 2023

Fargate is a technology that you can use with Amazon ECS to run containers without having to manage servers or clusters or virtual machines. On the Amazon ECS console, you can see the clusters on the Clusters page. Model data is stored on Amazon Simple Storage Service (Amazon S3) in the JumpStart account. for the full code.

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IBM Journey to AI blog

APRIL 29, 2024

The day also featured sessions on Velox’s I/O optimizations by Deepak Majeti from IBM, strategies for safeguarding against Out-Of-Memory (OOM) kills by Vikram Joshi from ComputeAI, and a hands-on demo on debugging Velox applications by Deepak Majeti.

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Clustering SQL Data Engineering Data Engineer 81

Snorkel AI

MARCH 30, 2023

If you want to see Snorkel Flow in action, sign up for a demo. Now you can import your own embedding directly into SF and once imported, the data can be visualized using the cluster view for an intuitive understanding of your custom embeddings. Schedule a demo with one of our Snorkel Flow experts. Advanced SDK tools.

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Precisely

NOVEMBER 14, 2023

Spatial analytics service adds powerful spatial functionalities like tools of calculating distance, proximity, density, clusters, catchment areas, to data governance with the scope of analyzing data in context to gain spatial insights for confident business decisions.

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Hacker News

JULY 18, 2023

And if you want to see demos of some of this functionality, be sure to join us for the livestream of the Citus 12.0 Moreover, the cluster can be rebalanced based on disk usage, such that large schemas automatically get more resources dedicated to them, while small schemas are efficiently packed together. Updates page. metric = alerts.

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ODSC - Open Data Science

JULY 22, 2023

On both days, we had our AI Expo & Demo Hall where over a dozen of our partners set up to showcase their latest developments, tools, frameworks, and other offerings. You can read the recap here and watch the full keynote here. Expo Hall ODSC events are more than just data science training and networking events.

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Google Research AI blog

AUGUST 21, 2023

demos and Q&A sessions). In addition, online attendees are encouraged to visit our virtual booth in Topia where you can get up-to-date information on research and opportunities at Google. Visit the @GoogleAI Twitter account to find out about Google booth activities (e.g.,

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Mlearning.ai

MAY 23, 2023

How to find the most dominant colors in an image using KMeans clustering In this blog, we will find the most dominant colors in an image using the K-means clustering algorithm , this is a very interesting project and personally one of my favorites because of its simplicity and power. Check out the demo here… [link] 21.

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Machine Learning Machine Learning K-nearest Neighbors Python 52

Mlearning.ai

MAY 21, 2023

How to find the most dominant colors in an image using KMeans clustering In this blog, we will find the most dominant colors in an image using the K-means clustering algorithm , this is a very interesting project and personally one of my favorites because of its simplicity and power. Check out the demo here… [link] 21.

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Machine Learning Machine Learning K-nearest Neighbors Python 52

ODSC - Open Data Science

MAY 24, 2023

Financial Market Challenges and ML-Supported Asset Allocation In the last few years, several machine learning innovations have been introduced to improve the robustness of asset allocation with hierarchical clustering and seriation-based approaches. Here’s why. Register for free! Is ChatGPT a Safe Cyber Space for Businesses?

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AWS Machine Learning Blog

APRIL 5, 2023

For demo purposes, we use approximately 1,600 products. We use the first metadata file in this demo. We use a pretrained ResNet-50 (RN50) model in this demo. This includes configuring an OpenSearch Service cluster, ingesting item embedding, and performing free text and image search queries. bin/bash MODEL_NAME=RN50.pt

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Cambridge Intelligence

JULY 26, 2023

This tells us that data has been exfiltrated from the organization we’re monitoring: A cluster of connected events quickly paints the picture of a successful cyber-attack We can see what the criminals were doing, but can we find out how they accessed our server, and stop it happening again?

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The MLOps Blog

AUGUST 15, 2024

We’re working with super-large GPU clusters and are looking at training runs that take weeks or months. Watch the 2-min product demo Check the docs See in app Full screen preview RAG observability challenges Retrieval Augmented Generation (RAG) is the backbone of many LLM applications today.

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