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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.

Systems 226
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Lerner?—?using RL agents for test case scheduling

The Netflix TechBlog

We thought that reinforcement learning would be a promising approach that could provide great flexibility in the training process. Likewise it has very low requirements on the initial amount of training data. We wanted the to tool be available as a standalone library as well as scalable API service.

Testing 163
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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

by David Berg , Ravi Kiran Chirravuri , Romain Cledat , Savin Goyal , Ferras Hamad , Ville Tuulos tl;dr Metaflow is now open-source! On the other hand, very few data scientists feel strongly about the nature of the data warehouse, the compute platform that trains and scores their models, or the workflow scheduler.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

by David Berg , Ravi Kiran Chirravuri , Romain Cledat , Savin Goyal , Ferras Hamad , Ville Tuulos tl;dr Metaflow is now open-source! On the other hand, very few data scientists feel strongly about the nature of the data warehouse, the compute platform that trains and scores their models, or the workflow scheduler.

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MXNet - Deep Learning Framework of Choice at AWS

All Things Distributed

A set of programming models has emerged to help developers define and train AI models with deep learning; along with open source frameworks that put deep learning in the hands of mere mortals. Some examples of popular deep learning frameworks that we support on AWS include Caffe, CNTK, MXNet, TensorFlow, Theano, and Torch.

AWS 167
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Infinitely scalable machine learning with Amazon SageMaker

All Things Distributed

For example, training on more data means more accurate models. At AWS, we continue to strive to enable builders to build cutting-edge technologies faster in a secure, reliable, and scalable fashion. Now, thousands of customers are trying Amazon SageMaker and building ML models on top of their data lakes in AWS.

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Updated Percona Distributions for MongoDB, Metadata Table for QAN in PMM: Release Roundup August 21, 2023

Percona

Percona is a leading provider of unbiased, performance-first, open source database solutions that allow organizations to easily, securely, and affordably maintain business agility, minimize risks, and stay competitive, free from vendor lock-in. Take a look. Percona Monitoring and Management 2.39.0 was released on August 14, 2023.