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Enhancing Distributed System Load Shedding with TCP Congestion Control Algorithm

Zalando Engineering

We cannot process all requested communication as fast as possible. The business stakeholders have requested to ensure that we process the communication which supports critical business operations within the given service level objectives ( SLOs). We know if our system runs within its normal limits that we meet our SLOs.

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Time Complexity: Significance, Types, Algorithms

Knowledge Hut

” In this article, we are going to discuss time complexity of algorithms and how they are significant to us. Nobody would want to use a system which takes a lot of time to process large input size. The Time complexity of an algorithm is the actual time needed to execute the particular codes.

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Bring Your Own Algorithm to Anomaly Detection

Pinterest Engineering

The approach here could be generalized to integrate processing done in one language/paradigm into a platform in another language/paradigm. Warden started off as a Java Thrift service built around the EGADs open-source library, which contains Java implementations of various time-series anomaly detection algorithms. What’s the Goal?

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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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Movie Recommendation System: Definition, Strategies, Usecase

Knowledge Hut

Not only could this recommendation system save time browsing through lists of movies, it can also give more personalized results so users don’t feel overwhelmed by too many options. What are Movie Recommendation Systems? Recommender systems have two main categories: content-based & collaborative filtering.

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Scaling the Instagram Explore recommendations system

Engineering at Meta

Explore is one of the largest recommendation systems on Instagram. Using more advanced machine learning models, like Two Towers neural networks, we’ve been able to make the Explore recommendation system even more scalable and flexible. locally popular media), which further contributes to system scalability.

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Rebuilding Netflix Video Processing Pipeline with Microservices

Netflix Tech

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

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