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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Cambridge Intelligence

NOVEMBER 8, 2023

Earthquake data as a geospatial visualization A map view reveals what we’d expect, that the largest clusters of earthquakes occur where tectonic plates meet. Filter maps by node type and time to focus your investigation Notice the cluster of major earthquakes that occurred in northern Argentina. Tōhoku earthquake.

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phData

JUNE 28, 2023

Today’s most cutting-edge Generative AI and LLM applications are all trained using large clusters of GPU-accelerated hardware. At Snowflake Summit, NVIDIA is showing demos of its NeMo platform to show the power of these new capabilities within Snowflake. What are the Benefits of Using NVIDIA GPUs in Snowflake?

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Snorkel AI

OCTOBER 6, 2023

Customizing LLMs is imperative for enterprises Large language models make for exciting demos, but solve few—if any—business problems off the shelf. For example, by generating embeddings for a wide sample of texts, you can use unsupervised clustering techniques to identify the topics in the data. Book a demo today.

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Snorkel AI

OCTOBER 6, 2023

Customizing LLMs is imperative for enterprises Large language models make for exciting demos, but solve few—if any—business problems off the shelf. For example, by generating embeddings for a wide sample of texts, you can use unsupervised clustering techniques to identify the topics in the data. Book a demo today.

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Data Science Supervised Learning Data Mining Data Mining 59

Snorkel AI

JANUARY 26, 2023

We tackle that by learning these clusters in the foundation models embedding space and providing those clusters as the subgroups—and basically learning a weak supervision model on each of those clusters. You can register for a live demo of Snorkel Flow on February 16 which will feature the platform’s new FM capabilities.

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Snorkel AI

JANUARY 26, 2023

We tackle that by learning these clusters in the foundation models embedding space and providing those clusters as the subgroups—and basically learning a weak supervision model on each of those clusters. You can register for a live demo of Snorkel Flow on February 16 which will feature the platform’s new FM capabilities.

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ODSC - Open Data Science

AUGUST 7, 2023

Their platform was developed for working with Spark and provides automated cluster management and Python-style notebooks. During this event, you can also check out the AI Expo & Demo Hall  — both in-person and online — to see what companies like the ones above are doing to promote innovation in AI.

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Snorkel AI

JANUARY 26, 2024

Representation models encode meaningful features from raw data for use in classification, clustering, or information retrieval tasks. Book a demo today. Trung walked the audience through techniques and best practices for fine-tuning representation models, emphasizing the importance of data quality and augmentation.

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Cambridge Intelligence

JUNE 28, 2023

It’s a busy chart, but I’m drawn to the cluster of larger team nodes in the top left. Request full access to our SDKs, demos and live-coding playgrounds. The time bar across the bottom shows how race participation increased steadily, with two gaps showing when the race wasn’t held due to the first and second world wars.

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Snorkel AI

JANUARY 26, 2024

Representation models encode meaningful features from raw data for use in classification, clustering, or information retrieval tasks. Book a demo today. Trung walked the audience through techniques and best practices for fine-tuning representation models, emphasizing the importance of data quality and augmentation.

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ODSC - Open Data Science

APRIL 21, 2023

This keynote will also include a live demo of transfer learning and deployment of a transformer model using Hugging Face and MLRun; showcasing how to make the whole process efficient, effective, and collaborative. This is the perfect place to witness the latest developments and advancements in the field of generative AI and beyond.

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Cambridge Intelligence

FEBRUARY 6, 2024

AI-generated annotations and highlights pick out important insights – a cluster of intense activity, a change of name for an activist group Threat prevention We’ve arrived at the most important stage of the cycle: it’s time to set the direction for the next stage of our investigation.

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AWS Machine Learning Blog

APRIL 19, 2023

Then we needed to Dockerize the application, write a deployment YAML file, deploy the gRPC server to our Kubernetes cluster, and make sure it’s reliable and auto scalable. Thirdly, there are improvements to demos and the extension for Spark. There is also work to support streaming inference requests in DJL Serving.

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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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AWS Machine Learning Blog

JANUARY 17, 2023

Demo notebook. You can use the demo notebook to send example data to already-deployed model endpoints. The demo notebook quickly allows you to get hands-on experience by querying the example data. After you launch the Churn Prediction with Text solution, open the demo notebook by choosing Use Endpoint in Notebook.

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IBM Journey to AI blog

MAY 1, 2023

Here, you can find information on the actions and the corresponding workload, such as the container cluster, the namespace and the risk posed to the workload (which, in this case, is transaction congestion): Figure 5 In Figure 6 below, you can see how Turbonomic provides the rationale behind taking the action.

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AWS Machine Learning Blog

APRIL 18, 2024

Check out the following demo to see how it works. For example, this could be a softphone (such as Google Voice ), another meeting app, or for demo purposes, you can simply play a local audio recording or a YouTube video in your browser to emulate another meeting participant. Open any audio source in a browser tab.

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