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Best Practices for Building ETLs for ML

KDnuggets

It delves into several software engineering techniques and patterns applied to ML. This article talks about several best practices for writing ETLs for building training datasets.

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Feature Store Summit 2023: Practical Strategies for Deploying ML Models in Production Environments

KDnuggets

On October 11th, 2023 the Feature Store Summit will bring together leading ML companies, such as Uber, WeChat and more, for in-depth discussions about data and AI.

ML 302
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Unify Batch and ML Systems with Feature/Training/Inference Pipelines

KDnuggets

A new way to do MLOps for your Data-ML-Product Teams.

ML 306
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AWS AI & ML Scholarship Program Overview

KDnuggets

This scholarship program aims to help people who are underserved and that were underrepresented during high school and college - to then help them learn the foundations and concepts of Machine Learning and build a careers in AI and ML.

ML 268
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ML for Beginners GitHub

Hacker News

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all - GitHub - microsoft/ML-For-Beginners: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ML 111
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The Truth Behind Why Most ML Projects Still Fail and What to Do About It

insideBIGDATA

In this special guest feature, Gideon Mendels, CEO and co-founder of Comet ML, dives into why so many ML projects are failing and what ML practitioners and leaders can do to course correct, protect their investments and ensure success.

ML 264
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Stable Diffusion with Core ML on Apple Silicon

Machine Learning Research at Apple

Today, we are excited to release optimizations to Core ML for Stable Diffusion in macOS 13.1 Figure 1: Images generated with the prompts, "a high quality photo of an astronaut riding a (horse/dragon) in space" using Stable Diffusion and Core ML + diffusers running on-device on Apple Silicon.}> and iOS 16.2,

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