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Managing Dataset Versions in Long-Term ML Projects

The MLOps Blog

As a result of the life span of these apps and systems, the ML models associated require to be constantly updated, redeployed, and maintained, which means that they require proper dataset version management. As ML projects mature, the datasets used may change due to new technical requirements or industry shifts.

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Computer Vision and Deep Learning for Healthcare

PyImageSearch

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

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Enable data sharing through federated learning: A policy approach for chief digital officers

AWS Machine Learning Blog

This is a guest blog post written by Nitin Kumar, a Lead Data Scientist at T and T Consulting Services, Inc. Medical data restrictions You can use machine learning (ML) to assist doctors and researchers in diagnosis tasks, thereby speeding up the process. Stroke victims can lose around 1.9 So why hasn’t it been used yet?

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The Modern Data Stack Explained: What The Future Holds

Alation

Chances are, you’ve heard of the term “modern data stack” before. In actual fact, it isn’t all that confusing at all, and understanding what it means can have huge benefits for your organization. In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds.

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Getting Started With Snowflake: Best Practices For Launching

phData

This blog was originally written by Erik Hyrkas and updated for 2024 by Justin Delisi This isn’t meant to be a technical how-to guide — most of those details are readily available via a quick Google search — but rather an opinionated review of key processes and potential approaches. Congratulations! Want to save this guide for later?

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Learnings From Building the ML Platform at Mailchimp

The MLOps Blog

Today, I’m your host, Aurimas, and together with me, there’s a cohost, Piotr Niedźwiedź, who is a co-founder and the CEO of neptune.ai. Mikiko is a very well-known figure in the data community. How to transition from data analytics to MLOps engineering Piotr: Miki, you’ve been a data scientist, right?

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The Ultimate Modern Data Stack Migration Guide

phData

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.