Remove category data-strategy
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What are the Commonly Used Machine Learning Algorithms?

Knowledge Hut

Machine Learning is a sub-branch of Artificial Intelligence, used for the analysis of data. It learns from the data that is input and predicts the output from the data rather than being explicitly programmed. If ML algorithms consume more amounts of data while solving a problem, it results in better performance.

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Data News — Week 23.08

Christophe Blefari

Data engineering team moving data manually ( credits ) Dear readers, I hope you had a great week. This is something I struggle with, I really like writing, I really like this newsletter, I really like the blog, but it takes me one day per week to be done. For the last 2 newsletters I've tried to ask your for paying support.

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What are ChatGPT Prompts and How to Write Your Own? [With Pro Tips]

Knowledge Hut

In this blog post, I have shared 30 carefully curated prompts catering to various industries. By offering a diverse array of prompts, this blog post aims to provide valuable resources for professionals seeking to enhance their writing skills or generate fresh ideas within their respective industries. accessibility guidelines.

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An ML based approach to proactive advertiser churn prevention

Pinterest Engineering

Erika Sun ML Engineer | Advertiser Growth Modeling Team; Ogheneovo Dibie Engineering Manager | Advertiser Growth Modeling Team Photo by Jason Blackeye on Unsplash Summary In this blog post, we describe a Machine Learning (ML) powered proactive churn prevention solution that was prototyped with our small & medium business (SMB) advertisers.

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Use Consistent And Up To Date Customer Profiles To Power Your Business With Segment Unify

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake. What are some of the categories of attributes that need to be managed in a prototypical customer profile?

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Automation tool to Convert Informatica Code to Talend

RandomTrees

In today’s dynamic business landscape, data integration has become a critical component for enterprises to derive meaningful insights and make informed decisions. Among the various tools available for data integration, Informatica and Talend stand out as popular choices, each with its strengths and capabilities.

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How DoorDash Standardized and Improved Microservices Caching

DoorDash Engineering

Each team manages their own data and exposes access through gRPC services, an open-source remote procedure call framework used to build scalable APIs. Caching has long been a go-to strategy to improve performance and reduce costs. This can be handy if a newly introduced cache strategy has a bug.

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