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Bring Your Own Algorithm to Anomaly Detection

Pinterest Engineering

Charles Wu | Software Engineer; Isabel Tallam | Software Engineer; Kapil Bajaj | Engineering Manager Overview In this blog, we present a pragmatic way of integrating analytics, written in Python, with our distributed anomaly detection platform, written in Java. The execution flow of one anomaly detection job, defined by one JSON job spec.

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Theming the Zalando Design System

Zalando Engineering

As a design system evolves alongside with the brand it represents, there are often multiple occasions when a need to introduce variations arises. The previous article on this blog gives a wider overview of the Zalando Design System. The previous article on this blog gives a wider overview of the Zalando Design System.

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Building Trust and Combating Abuse On Our Platform

LinkedIn Engineering

At LinkedIn, trust is the cornerstone for building meaningful connections and professional relationships. By leveraging cutting-edge technologies, machine learning algorithms, and a dedicated team, we remain committed to ensuring a secure and trustworthy space for professionals to connect, share insights, and foster their career journeys.

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Build AI-powered Recommendations with Confluent Cloud for Apache Flink® and Rockset

Rockset

In this blog, we’ll discuss how RAG fits into the paradigm of real-time data processing and show an example product recommendation application using both Kafka and Flink on Confluent Cloud together with Rockset. Building a real-time, contextual and trustworthy knowledge base for AI applications revolves around RAG pipelines.

Cloud 64
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What Is Ethical Design? Importance, Principles & How to Use

Knowledge Hut

In this rapidly growing digital world, I've realized that ethical considerations in design frameworks have never been more critical than before. As a designer, I exert significant influence over how people interact with technology and data, making the imperative for ethical design important to me. What is Ethical Design?

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Building a Media Understanding Platform for ML Innovations

Netflix Tech

Earlier we shared the details of one of these algorithms , introduced how our platform team is evolving the media-specific machine learning ecosystem , and discussed how data from these algorithms gets stored in our annotation service. We build creator tooling to enable these colleagues to focus their time and energy on creativity.

Media 116
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An educational side project

The Pragmatic Engineer

Juraj created a systems design explainer on how he built this project, and the technologies used: The systems design diagram for the Rides application The app uses: Node.js Change deploys to be a one-command process, instead of multiple steps See blog posts #1-11 for details on all the steps. You can read this here.

Education 363