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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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Building Holiday Finds: How Pinterest Engineers Reimagined Gift Discovery

Pinterest Engineering

Personalization Stack Building a Gift-Optimized Recommendation System The success of Holiday Finds hinges on our ability to surface the right gift ideas at the right time. Unified Logging System: We implemented comprehensive engagement tracking that helps us understand how users interact with gift content differently from standardPins.

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An educational side project

The Pragmatic Engineer

for the simulation engine Go on the backend PostgreSQL for the data layer React and TypeScript on the frontend Prometheus and Grafana for monitoring and observability And if you were wondering how all of this was built, Juraj documented his process in an incredible, 34-part blog series. You can read this here. Including adding unit tests.

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What are the Commonly Used Machine Learning Algorithms?

Knowledge Hut

There is no end to what can be achieved with the right ML algorithm. Machine Learning is comprised of different types of algorithms, each of which performs a unique task. U sers deploy these algorithms based on the problem statement and complexity of the problem they deal with.

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The Top Pinterest Engineering Blog posts from 2023

Pinterest Engineering

From building new ad formats to launching industry-first inclusive AI technology, Pinterest launched more products in 2023 than in any year in our history. Our Pinterest Engineering Blog goes deeper into the technical learnings and insights behind many of these launches. Stay tuned for more engineering blog articles coming soon.

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Building a Data-Centric Platform for Generative AI and LLMs at Snowflake

Snowflake

Snowflake users are already taking advantage of LLMs to build really cool apps with integrations to web-hosted LLM APIs using external functions , and using Streamlit as an interactive front end for LLM-powered apps such as AI plagiarism detection , AI assistant , and MathGPT. Join us in Vegas at our Summit to learn more.

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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.

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