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Supporting Diverse ML Systems at Netflix

Netflix Tech

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. ETL workflows), as well as downstream (e.g.

Systems 90
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Uncertainty Quantification in Artificial Intelligence-based Systems

KDnuggets

The article summarizes the plethora of UQ methods using Bayesian techniques, shows issues and gaps in the literature, suggests further directions, and epitomizes AI-based systems within the Financial Crime domain.

Systems 160
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System Calls in Operating System: Overview, Types & Examples

Knowledge Hut

A system call is a function that a user program uses to ask the operating system for a particular service. User programmers can communicate with the operating system to request its services using the interface that is created by a system call. System calls serve as the interface between an operating system and a process.

Systems 52
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Ten Key Lessons of Implementing Recommendation Systems in Business

KDnuggets

Following this article's advice, you will avoid a lot of mistakes when creating a recommendation system, and it will help to build a really good product. We've been long working on improving the user experience in UGC products with machine learning.

Systems 115
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A Data Mesh Implementation: Expediting Value Extraction from ERP/CRM Systems

Towards Data Science

ERP and CRM systems are designed and built to fulfil a broad range of business processes and functions. Accessing Operational Data I used to connect to views in transactional databases or APIs offered by operational systems to request the raw data. Does it sound familiar?

Systems 83
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Prepare your data for the National Spatial Reference System modernization of 2022 in the U.S.

ArcGIS

This article covers what is coming and how you should prepare your data. The new U.S. datums of 2022 will soon be released.

Systems 141
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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Make Trusted Data Products with Reusable Modules : “Many organizations are operating monolithic data systems and processes that massively slow their data delivery time.”