Flipboard

AUGUST 17, 2023

Many practitioners are extending these Redshift datasets at scale for machine learning (ML) using Amazon SageMaker , a fully managed ML service, with requirements to develop features offline in a code way or low-code/no-code way, store featured data from Amazon Redshift, and make this happen at scale in a production environment.

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DataRobot Blog

DECEMBER 6, 2022

With a goal to help data science teams learn about the application of AI and ML, DataRobot shares helpful, educational blogs based on work with the world’s most strategic companies. Data Scientists of Varying Skillsets Learn AI – ML Through Technical Blogs. Watch a demo. See DataRobot in Action. Bureau of Labor Statistics.

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Snorkel AI

JUNE 27, 2024

AWS provides a robust framework for responsible AI development with Amazon SageMaker, a fully managed service that brings together a broad set of tools to build, train, and deploy generative AI and machine learning (ML) models. Our relationship with AWS helps organizations around the globe accelerate the demo-to-production pipeline.

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Snorkel AI

JANUARY 5, 2023

Check out this demo to see how Snorkel Flow can be used to easily and quickly train Azure Form Recognizer custom models. In this demo, we showcase the integration with a real-world use case from real estate and construction. Schedule a custom demo tailored to your use case and Azure stack with our ML experts today.

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PyImageSearch

DECEMBER 11, 2023

But again, stick around for a surprise demo at the end. ? Kicking Off with a Keynote The second day of the Google Machine Learning Community Summit began with an inspiring keynote session by Soonson Kwon, the ML Community Lead at Google. MakerSuite Sprint: This session involved participants building ML applications using the PaLM API.

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Snorkel AI

JUNE 27, 2024

AWS provides a robust framework for responsible AI development with Amazon SageMaker, a fully managed service that brings together a broad set of tools to build, train, and deploy generative AI and machine learning (ML) models. Our relationship with AWS helps organizations around the globe accelerate the demo-to-production pipeline.

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PyImageSearch

DECEMBER 4, 2023

Home Table of Contents ML Days in Tashkent — Day 1: City Tour Arriving at Tashkent! But stick around for a surprise demo at the end. A Peek into the Google ML Community Summit The summit was a melting pot of ideas and innovations in the Machine Learning field.

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The MLOps Blog

OCTOBER 8, 2024

In the machine learning (ML) and artificial intelligence (AI) domain, managing, tracking, and visualizing model training processes is a significant challenge due to the scale and complexity of managed data, models, and resources. Use the plugin by installing it with pip install flytekitplugins-neptune. contact-us.

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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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Towards AI

JUNE 25, 2024

🧰 The dummy data While Spark is famous for its ability to work with big data, for demo purposes, I have created a small dataset with an obvious duplicate issue. We will use this table to demo and test our custom functions. Do you notice that the two ID fields, ID1 and ID2, do not form a primary key? distinct().count()

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ODSC - Open Data Science

APRIL 20, 2023

Much can be accomplished at the ODSC East AI Expo and Demo Hall , from connecting with partner representatives to getting caught up on the latest developments in AI applications. Topics covered will range from ML-based recommendations to user-friendly interfaces. Check out some of our confirmed sessions below coming this May 9th-11th.

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ODSC - Open Data Science

OCTOBER 24, 2024

The Essential Tools for ML Evaluation and Responsible AI There are lots of checkmarks to hit when developing responsible AI, but thankfully, there are many tools for ML evaluation and frameworks designed to support responsible AI development and evaluation.

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Iguazio

DECEMBER 18, 2023

For data science practitioners, productization is key, just like any other AI or ML technology. Successful demos alone just won’t cut it, and they will need to take implementation efforts into consideration from the get-go, and not just as an afterthought. AI/ML Predictions for the New Year appeared first on Iguazio.

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Mlearning.ai

JUNE 26, 2023

Introduction Deepchecks is a groundbreaking open-source Python package that aims to simplify and enhance the process of implementing automated testing for machine learning (ML) models. In this article, we will explore the various aspects of Deepchecks and how it can revolutionize the way we validate and maintain ML models.

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Heartbeat

JUNE 5, 2023

Without proper tracking, optimization, and collaboration tools, ML practitioners can quickly become overwhelmed and lose track of their progress. Comet’s integrations are modular and customizable, enabling teams to incorporate new approaches and tools to their ML platforms. This is where Comet comes in.

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AWS Machine Learning Blog

NOVEMBER 13, 2024

You can now register machine learning (ML) models in Amazon SageMaker Model Registry with Amazon SageMaker Model Cards , making it straightforward to manage governance information for specific model versions directly in SageMaker Model Registry in just a few clicks.

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Iguazio

DECEMBER 18, 2023

For data science practitioners, productization is key, just like any other AI or ML technology. Successful demos alone just won’t cut it, and they will need to take implementation efforts into consideration from the get-go, and not just as an afterthought. AI/ML Predictions for the New Year appeared first on Iguazio.

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Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody. Everybody can train a model.

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Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody. Everybody can train a model.

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Hacker News

JULY 18, 2024

ABOUT EVENTUAL Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI. Eventual and Daft bridge that gap, making ML/AI workloads easy to run alongside traditional tabular workloads. This is more compute than Frontier, the world's largest supercomputer!

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AWS Machine Learning Blog

JUNE 7, 2023

You can now retrain machine learning (ML) models and automate batch prediction workflows with updated datasets in Amazon SageMaker Canvas , thereby making it easier to constantly learn and improve the model performance and drive efficiency. An ML model’s effectiveness depends on the quality and relevance of the data it’s trained on.

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Heartbeat

JUNE 26, 2023

A guide to performing end-to-end computer vision projects with PyTorch-Lightning, Comet ML and Gradio Image by Freepik Computer vision is the buzzword at the moment. Today, I’ll walk you through how to implement an end-to-end image classification project with Lightning , Comet ML, and Gradio libraries.

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AWS Machine Learning Blog

APRIL 11, 2023

Developing web interfaces to interact with a machine learning (ML) model is a tedious task. With Streamlit , developing demo applications for your ML solution is easy. Streamlit is an open-source Python library that makes it easy to create and share web apps for ML and data science. sh setup.sh is modified on disk.

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The MLOps Blog

JUNE 4, 2024

TL;DR Using CI/CD workflows to run ML experiments ensures their reproducibility, as all the required information has to be contained under version control. The compute resources offered by GitHub Actions directly are not suitable for larger-scale ML workloads. ML experiments are, by nature, full of uncertainty and surprises.

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DataRobot

JUNE 23, 2021

To help data scientists experiment faster, DataRobot has added Composable ML to automated machine learning. Composable ML is currently available through a private beta program, and I want to share what we see successful users doing. Composable ML then lets you add new types of feature engineering or build entirely new models.

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ODSC - Open Data Science

APRIL 29, 2023

a comprehensive approach to the ML pipeline. AI/ML, Edge Computing and 5G in Action: Anatomy of an Intelligent Agriculture Architecture! Conclusion To meet one-on-one with representatives from these organizations, join us at the AI Expo and Demo Hall with a free AI Expo pass, and visit them at their booth. Guillaume Moutier｜Sr.

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IBM Data Science in Practice

MARCH 4, 2024

This works for both Predictive ML and LLMs. For Predictive ML, both development and runtime metrics can be monitored for any model including quality metrics, drift, and fairness monitoring. Each of these calculations can be done for any vendor at development time. Details in our documentation here.)

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The MLOps Blog

OCTOBER 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals. How do I develop my body of work?

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ODSC - Open Data Science

MAY 24, 2023

Building a Business with a Real-Time Analytics Stack, Streaming ML Without a Data Lake, and Google’s PaLM 2 Building a Pizza Delivery Service with a Real-Time Analytics Stack The best businesses react quickly and with informed decisions. Here’s a use case of how you can use a real-time analytics stack to build a pizza delivery service.

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Heartbeat

MARCH 28, 2023

A complete guide to building a deep learning project with PyTorch, tracking an Experiment with Comet ML, and deploying an app with Gradio on HuggingFace Image by Freepik AI tools such as ChatGPT, DALL-E, and Midjourney are increasingly becoming a part of our daily lives. This is when Comet ML comes into play. Installing comet_ml # !pip

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AWS Machine Learning Blog

APRIL 19, 2023

Since 2018, our team has been developing a variety of ML models to enable betting products for NFL and NCAA football. These models are then pushed to an Amazon Simple Storage Service (Amazon S3) bucket using DVC, a version control tool for ML models. Thirdly, there are improvements to demos and the extension for Spark.

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IBM Data Science in Practice

MAY 21, 2024

AI efforts, whether generative AI or predictive ML, are organized into use cases. This creates a central inventory to document AI and ML efforts, including the ability to assign an overall risk score for each use case. AI Artifact Governance This portion of watsonx.governance is about documentation.

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AWS Machine Learning Blog

OCTOBER 24, 2024

Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others. Let’s learn about the services we will use to make this happen.

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Iguazio

NOVEMBER 1, 2024

We’ve listened to what our users are saying and have designed this version (and the upcoming ones) to address needs and gaps for managing ML and AI across the lifecycle. MLRun is an open-source AI orchestration framework for managing ML and generative AI applications across their lifecycle, to accelerate their productization.

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ODSC - Open Data Science

OCTOBER 19, 2023

Grab one for access to Keynote Talks, Demo Talks, the AI Expo and Demo Hall, and Extra Events. Find Your AI Solutions at the ODSC West AI Expo Learn about the best AI solutions for your organization at the ODSC West AI Expo & Demo Hall during these Demo Theater sessions! Attend in-person or virtually!

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AWS Machine Learning Blog

MAY 4, 2023

This post provides an overview of generative AI with a real customer use case, provides a concise description and outlines its benefits, references an easy-to-follow demo of AWS DeepComposer for creating new musical compositions, and outlines how to get started using Amazon SageMaker JumpStart for deploying GPT2, Stable Diffusion 2.0,

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The MLOps Blog

JUNE 27, 2023

This article will dive deep into the captivating realm of SHAP (Shapley Additive Explanations) values , a powerful framework that helps explain a model’s decision-making process, and how you can harness its power to easily optimize and debug your ML models. So without further ado, let’s begin! References [link] [link]

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