AWS Machine Learning Blog

MAY 10, 2023

Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter.

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Towards AI

NOVEMBER 8, 2024

Edited Photo by Taylor Vick on Unsplash In ML engineering, data quality isn’t just critical — it’s foundational. Since 2011, Peter Norvig’s words underscore the power of a data-centric approach in machine learning. Yet, this perspective often gets sidelined and there was never a consensus in the ML community about it.

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AWS Machine Learning Blog

APRIL 19, 2023

Businesses are increasingly using machine learning (ML) to make near-real-time decisions, such as placing an ad, assigning a driver, recommending a product, or even dynamically pricing products and services. As a result, some enterprises have spent millions of dollars inventing their own proprietary infrastructure for feature management.

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ODSC - Open Data Science

FEBRUARY 20, 2023

As newer fields emerge within data science and the research is still hard to grasp, sometimes it’s best to talk to the experts and pioneers of the field. He gave the Inaugural IMS Grace Wahba Lecture in 2022, the IMS Neyman Lecture in 2011, and an IMS Medallion Lecture in 2004. Recently, we spoke with Michael I.

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AWS Machine Learning Blog

MAY 2, 2023

Text generation using RAG with LLMs enables you to generate domain-specific text outputs by supplying specific external data as part of the context fed to LLMs. JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. SageMaker Savings Plans apply only to SageMaker ML Instance usage.

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Algorithm Machine Learning Machine Learning Natural Language Processing 101

Alation

FEBRUARY 20, 2020

Analyst Michelle Goetz, a well known advisor to enterprise architects, chief data officers, and business analysts, has been tracking this market for some time. She’s seen the evolution of the self-service analytics market from decision systems to business intelligence to data visualization to data science and automated intelligence.

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Machine Learning Machine Learning Natural Language Processing Analytics 52

DagsHub

JULY 25, 2024

This guarantees businesses can fully utilize deep learning in their AI and ML initiatives. You can make more informed judgments about your AI and ML initiatives if you know these platforms' features, applications, and use cases. In 2011, H2O.ai Notable Use Cases in the Industry H2O.ai Guidance for Use H2O.ai Documentation H2O.ai

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