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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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What Is Data Collection? Methods, Types, Tools, and Techniques

U-Next

The primary goal of data collection is to gather high-quality information that aims to provide responses to all of the open-ended questions. Businesses and management can obtain high-quality information by collecting data that is necessary for making educated decisions. . What is Data Collection?

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Moving Enterprise Data From Anywhere to Any System Made Easy

Cloudera

In a recent customer workshop with a large retail data science media company, one of the attendees, an engineering leader, made the following observation: “Everytime I go to your competitor website, they only care about their system. How to onboard data into their system? I don’t care about their system.

Systems 99
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Mobile Data Collection And Analysis Using Ona And Canopy With Peter Lubell-Doughtie - Episode 41

Data Engineering Podcast

Summary With the attention being paid to the systems that power large volumes of high velocity data it is easy to forget about the value of data collection at human scales.

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Consulting Case Study: Recommender Systems

WeCloudData

Next, in order for the client to leverage their collected user clickstream data to enhance the online user experience, the WeCloudData team was tasked with developing recommender system models whereby users can receive more personalized article recommendations.

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Consulting Case Study: Recommender Systems

WeCloudData

Next, in order for the client to leverage their collected user clickstream data to enhance the online user experience, the WeCloudData team was tasked with developing recommender system models whereby users can receive more personalized article recommendations.

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Data Collection And Management To Power Sound Recognition At Audio Analytic

Data Engineering Podcast

challenges of building an embeddable AI model update cycle difficulty of identifying relevant audio and dealing with literal noise in the input data rights and ownership challenges in collection of source data What was your design process for constructing a pipeline for the audio data that you need to process?