Flipboard

JUNE 3, 2025

We live in… Read More »Decentralized ML: Developing federated AI without a central cloud Massive data charts are uploaded on a centralized server, routed through a super-powerful GPU, and turned into a model that produces recommendations, forecasts, and inferences. But, what if there is not ‘only one way’?

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ML ML Cloud Computing Machine Learning 121

Flipboard

NOVEMBER 22, 2024

This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. The data mesh architecture aims to increase the return on investments in data teams, processes, and technology, ultimately driving business value through innovative analytics and ML projects across the enterprise.

Data Governance 131

Data Governance ML ML Data Lakes 131

AWS Machine Learning Blog

DECEMBER 4, 2024

Our customers want a simple and secure way to find the best applications, integrate the selected applications into their machine learning (ML) and generative AI development environment, manage and scale their AI projects. This increases the time it takes for customers to go from data to insights.

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Machine Learning Mastery

NOVEMBER 22, 2024

This well-known motto perfectly captures the essence of ensemble methods: one of the most powerful machine learning (ML) approaches -with permission from deep neural networks- to effectively address complex problems predicated on complex data, by combining multiple models for addressing one predictive task. Unity makes strength.

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Machine Learning Machine Learning ML ML 307

AWS Machine Learning Blog

NOVEMBER 14, 2024

By setting up automated policy enforcement and checks, you can achieve cost optimization across your machine learning (ML) environment. The following table provides examples of a tagging dictionary used for tagging ML resources. A reference architecture for the ML platform with various AWS services is shown in the following diagram.

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ML ML AWS Machine Learning 112

AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Visit the session catalog to learn about all our generative AI and ML sessions.

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AWS Machine Learning Blog

DECEMBER 9, 2024

With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker , users want a seamless and secure way to experiment with and select the models that deliver the most value for their business.

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insideBIGDATA

NOVEMBER 9, 2023

Our friends over at Sama recently published a comprehensive report on the potential and challenges of AI as reported by Machine Learning professionals.

Machine Learning 450

Machine Learning Machine Learning ML ML 450

Machine Learning Research at Apple

DECEMBER 17, 2024

Accelerating LLM inference is an important ML research problem, as auto-regressive token generation is computationally expensive and relatively slow, and improving inference efficiency can reduce latency for users.

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databricks

JUNE 11, 2025

MLflow has become the foundation for MLOps at scale, with over 30 million monthly downloads and contributions from over 850 developers worldwide powering ML and

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Towards AI

DECEMBER 15, 2024

Last Updated on December 15, 2024 by Editorial Team Author(s): Raghu Teja Manchala Originally published on Towards AI. Short and Concise: The Most Asked Regression Metrics in Interviews. Source: Image by Sam Nguyen on Avada Over the past few years, I have had numerous interviews, ranging from scenario-based to technical rounds.

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ML ML Data Scientist Machine Learning 115

insideBIGDATA

APRIL 22, 2023

The company surveyed more than 1,600 executives and ML practitioners to uncover what’s working, what’s not, and the best practices for organizations to deploy AI for real business impact. Our friends over at Scale are excited to introduce the 2nd edition of Scale Zeitgeist: AI Readiness Report!

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AI AI ML ML 536

insideBIGDATA

FEBRUARY 23, 2023

It’s a wonderful learning resource for tree-based techniques in statistical learning, one that’s become my go-to text when I find the need to do a deep dive into various ML topic areas for my work. The methods […]

Data Scientist 542

Data Scientist ML ML Big Data 542

KDnuggets

AUGUST 15, 2024

The AI and ML complexity results in a growing number and diversity of jobs that require AI & ML expertise. We’ll give you a rundown of these jobs regarding the technical skills they need and the tools they employ.

Machine Learning 376

Machine Learning Machine Learning ML ML 376

Flipboard

NOVEMBER 14, 2024

Machine learning (ML) models contain numerous adjustable settings called hyperparameters that control how they learn from data. Unlike model parameters that are learned automatically during training, hyperparameters must be carefully configured by developers to optimize model performance.

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Machine Learning Machine Learning ML ML 175

insideBIGDATA

MARCH 18, 2024

Today at NVIDIA GTC, Hewlett Packard Enterprise (NYSE: HPE) announced updates to one of the industry’s most comprehensive AI-native portfolios to advance the operationalization of generative AI (GenAI), deep learning, and machine learning (ML) applications.

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Deep Learning Deep Learning Machine Learning Machine Learning 464

insideBIGDATA

DECEMBER 30, 2023

They bring human experts into the loop to view how the ML performed on a set of data. Scientists at the Department of Energy’s Pacific Northwest National Laboratory have put forth a new way to evaluate an AI system’s recommendations.

Machine Learning 511

Machine Learning Machine Learning ML ML 511

Machine Learning Mastery

AUGUST 26, 2024

As we progress through 2024, machine learning (ML) continues to evolve at a rapid pace. Python, with its rich ecosystem of libraries, remains at the forefront of ML development.

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Machine Learning Machine Learning Python ML 339

KDnuggets

OCTOBER 16, 2024

Where can you find projects dealing with advanced ML topics? GitHub is a perfect source with its many repositories. I’ve selected ten to talk about in this article.

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Machine Learning Machine Learning ML ML 398

insideBIGDATA

APRIL 2, 2025

benchmark suite, which delivers machine learning (ML) system performance benchmarking. Today, MLCommons announced new results for its MLPerf Inference v5.0 The rorganization said the esults highlight that the AI community is focusing on generative AI.

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Machine Learning Machine Learning ML ML 406

Flipboard

MAY 19, 2025

Built an ML model? Here are 7 free platforms to share it with the world.

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Machine Learning Machine Learning ML ML 141

Flipboard

MARCH 16, 2025

AI was certainly getting better at predictive analytics and many machine learning (ML) algorithms were being used for voice recognition, spam detection, spell ch… Read More What seemed like science fiction just a few years ago is now an undeniable reality. Back in 2017, my firm launched an AI Center of Excellence.

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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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ML ML AWS Data Preparation 117

Machine Learning Mastery

NOVEMBER 5, 2024

We need the machine learning (ML) pipeline to operate the model and deliver value. Building an ML pipeline would require us […] In real life, the machine learning model is not a standalone object that only produces a prediction. It is part of an extended system that can only provide values if we manage it together.

Machine Learning 328

Machine Learning Machine Learning ML ML 328

AWS Machine Learning Blog

OCTOBER 16, 2024

Amazon SageMaker supports geospatial machine learning (ML) capabilities, allowing data scientists and ML engineers to build, train, and deploy ML models using geospatial data. SageMaker Processing provisions cluster resources for you to run city-, country-, or continent-scale geospatial ML workloads.

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ML ML Clustering Machine Learning 122

Flipboard

MAY 28, 2025

Machine learning (ML) has emerged as a powerful tool to help nonprofits expedite manual processes, quickly unlock insights from data, and accelerate mission outcomesfrom personalizing marketing materials for donors to predicting member churn and donation patterns.

Machine Learning 121

Machine Learning Machine Learning ML ML 121

Machine Learning Research at Apple

APRIL 20, 2025

Apple researchers are advancing machine learning (ML) and AI through fundamental research that improves the worlds understanding of this technology and helps to redefine what is possible with it.

Machine Learning 213

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Analytics Vidhya

AUGUST 7, 2024

Introduction As someone deeply passionate about the intersection of technology and education, I am thrilled to share that the Indian Space Research Organisation (ISRO) is offering an incredible opportunity for students interested in artificial intelligence (AI) and machine learning (ML). appeared first on Analytics Vidhya.

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Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 349

Analytics Vidhya

JUNE 2, 2025

Whether its a prototype or you are scaling it for production, model deployment in ML ensures that the models are accessible and can be used in practical environments. Deploying a machine learning model is one of the most critical steps in setting up an AI project.

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Machine Learning Machine Learning ML ML 140

Flipboard

JUNE 3, 2025

Manikandarajan Shanmugavel is an associate director in ML Applications development at S&P Global. Did you know that over 80% of AI projects fail? That's twice the failure rate of regular IT projects. A Gartner survey found that only 48% of AI projects make it to production, and it typically takes

Data Science 130

Data Science ML ML AI 130

Flipboard

MAY 15, 2025

Qualtrics harnesses the power of generative AI, cutting-edge machine learning (ML), and the latest in natural language processing (NLP) to provide new purpose-built capabilities that are precision-engineered for experience management (XM). It uses managed AWS services like SageMaker and Amazon Bedrock to enable the entire ML lifecycle.

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ML ML AI AI 130

Data Science Dojo

FEBRUARY 13, 2025

From an enterprise perspective, this conference will help you learn to optimize business processes, integrate AI into your products, or understand how ML is reshaping industries. Machine Learning & Deep Learning Advances Gain insights into the latest ML models, neural networks, and generative AI applications.

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Big Data Big Data AI AI 294

Flipboard

JUNE 6, 2025

The world’s leading publication for data science, AI, and ML professionals. You don’t need deep ML knowledge or tuning skills. Why Automate ML Model Selection? It’s not just convenient, it’s smart ML hygiene. Libraries We Will Use We will be exploring 2 underrated Python ML Automation libraries.

Machine Learning 108

Machine Learning Machine Learning Python Data Science 108

Analytics Vidhya

MAY 11, 2025

From GenAI-driven logistics to AI-powered finance and legal tech, companies across India are offering exciting ML roles that go far beyond textbook theory. If youre a student or early professional eager to apply your Machine Learning skills in the real world, an internship is your best starting point.

Machine Learning 176

Machine Learning Machine Learning ML ML 176

Machine Learning Research at Apple

OCTOBER 23, 2024

Of course, a user may request on-device experiences powered by machine learning (ML) that can be enriched by looking up global knowledge hosted on servers. By performing computations locally on a user’s device, we help minimize the amount of data that is shared with Apple or other entities.

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Machine Learning Machine Learning ML ML 364

KDnuggets

FEBRUARY 13, 2025

Here's how Dask applies the building blocks of sklearn to bring ML modeling workflows to the next level of scalability via high-performance parallel computing

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ML ML 298